The best FiftyOne alternatives for physical AI in 2026
Voxel51 is the multimodal data platform for physical AI, built on FiftyOne, with collaboration, governance, automation, and infrastructure for teams. It runs in your browser with a free plan, so you can search, curate, label, and evaluate images, video, LiDAR, MCAP, and LeRobot data without installing anything. This guide compares Voxel51 with 15 other tools FiftyOne users consider, from open source labeling apps to data quality tools, annotation platforms, and robotics data tools. Every fact links to the vendor's own site and was verified November 2, 2026.
Choosing
How do you choose a FiftyOne alternative?
Voxel51 brings search, curation, annotation, and model evaluation together for physical AI data, so most teams start by asking which of those jobs they need covered. Most alternatives cover one or two of them. These questions narrow the list quickly.
- What data do you work with? Images and video only, or 3D point clouds, LiDAR, and multisensor recordings too?
- Hosted or self-hosted? Do you want a browser workspace with nothing to install, or do you need to run it in your own cloud, on-premise, or air-gapped?
- Which open source license fits? MIT and Apache-2.0 allow commercial use. GPL-3.0 and AGPL-3.0 carry copyleft terms, and CC BY-NC-ND 4.0 bars commercial use.
- Which job is the bottleneck: annotation, curation, or evaluation? A labeling tool won't tell you which samples your model needs, and a data quality library won't label them.
- Does it read physical AI formats natively? Check for MCAP and LeRobot support, synced sensor playback, and search inside episodes.
- What will your security team ask for? Look for ISO 27001 or similar certifications, SSO, access controls, and on-premise or air-gapped deployment.
At a glance
How do FiftyOne alternatives compare?
Voxel51 is the only tool here that covers curation, annotation, model evaluation, and native MCAP and LeRobot on every plan, including free. The table shows what each alternative covers, based on its own website and documentation.
| Tool | Open source and license | Free to use | Self-host free | Python SDK |
|---|---|---|---|---|
Voxel51 | ||||
Voxel51 | ||||
Open source labeling | ||||
Yes, MIT | CVAT Online Free (1 project, 3 tasks, 1GB) | Yes, Community edition | Yes | |
Yes, Apache-2.0 (Community Edition) | Community Edition. Hosted Starter from $99 a month | Yes, Community Edition | Yes | |
Yes, GPL-3.0 | Yes, desktop app | Yes, runs locally | Not listed (CLI available) | |
Yes, Apache-2.0 | Open source, plus 14-day hosted trial | Yes, one user and one dataset in the GUI | Yes | |
Curation and data quality | ||||
fastdup is CC BY-NC-ND 4.0 (no commercial use) | Platform trial. fastdup free for non-commercial use | No | fastdup only | |
Yes, Apache-2.0 | Yes, library | Yes, runs locally | Yes | |
SDK only. Encord Active archived | No free plan listed | No | Yes | |
Annotation platforms | ||||
SDK only (MIT) | No free plan | No | Yes | |
SDK only (MIT) | Free tier mentioned on homepage. Pricing is quote only | No | Yes | |
SDK only (Apache-2.0) | Yes, 500 LBU a month | No, SaaS only | Yes | |
SDK and CLI only (Apache-2.0) | Not listed. Signup by invitation | No | Yes | |
SDK only (Apache-2.0) | Hosted Community Edition (5GB, 2 members) | No, Enterprise only | Yes | |
Training and deployment | ||||
Libraries only (supervision MIT, inference core Apache-2.0) | Yes, 10 credits a month | Inference only | Yes | |
Robotics data | ||||
MCAP library and SDK (MIT). App closed source | Yes, free plan | No | Yes | |
Yes, Apache-2.0 and MIT | SDK free. Hub priced through sales | Yes, SDK and local catalog | Yes | |
| Tool | Curation and search | Annotation | Model evaluation |
|---|---|---|---|
Voxel51 | |||
Voxel51 | |||
Open source labeling | |||
Metadata search and filters | Yes. SAM 2 and SAM 3 on paid plans | Label QC against ground truth | |
Filters and sorting | Yes | Human and LLM evaluation, mostly in paid editions | |
Not listed | Yes, SAM and VLM assist | Not listed | |
Embeddings, similarity search, dedup | Yes | Confusion matrix and per-sample metrics | |
Curation and data quality | |||
Dedup, outliers, quality issues, semantic search | Not listed | Not listed | |
Label errors, outliers, near duplicates (no UI) | Not listed | Not listed | |
Natural-language and similarity search, 40+ metrics | Yes, plus managed services | mAP and PR curves. Analytics on Team and Enterprise | |
Annotation platforms | |||
Query language and filters. Similarity and NL search removed Oct 2026 | Yes, plus managed teams | LLM and foundation-model evaluation | |
Filters, tags, saved views | Yes, plus labeling services | Training metrics, human vs model tests | |
Similarity and natural-language search | Yes, plus labeling services | Model-run metrics documented. Model experiments removed Jul 2026 | |
Similarity, CLIP search, dedup, outliers | Yes | PR curves, precision and recall, model comparison | |
CLIP search on Pro and Enterprise | Yes | Benchmarks, mAP, confusion matrix | |
Training and deployment | |||
CLIP natural-language and similarity search | Yes | Yes, for models trained on or uploaded to Roboflow | |
Robotics data | |||
Search across recordings, semantic search in beta | Event tagging | Not listed. Comparison mode plays recordings side by side | |
SQL and dataframe queries | Recording flags only | Not listed | |
| Tool | MCAP and LeRobot | 3D and LiDAR |
|---|---|---|
Voxel51 | ||
Voxel51 | ||
Open source labeling | ||
Not listed | Yes, .pcd and .bin | |
Not listed | LiDAR as an Enterprise interface | |
Not listed | Point clouds since Oct 2026 | |
MCAP indexing since Oct 2026. LeRobot not listed | 3D cuboids on MCAP point clouds | |
Curation and data quality | ||
Not listed | Not listed | |
Not listed | Not listed | |
MCAP in beta. LeRobot not listed | Add-on on Team, included on Enterprise | |
Annotation platforms | ||
Not listed | Point cloud projects closed May 2026 | |
Not listed | Not listed | |
Not listed | Not listed | |
Not listed | LiDAR as PCD | |
Not listed | Yes, point clouds and episodes | |
Training and deployment | ||
Not listed | Not listed | |
Robotics data | ||
MCAP native. LeRobot visualization backend | Point cloud visualization | |
Yes, MCAP and LeRobot | Point clouds (.ply) | |
Verified November 2, 2026, from each vendor's website and documentation. "Not listed" means the vendor's site and docs don't state it. Sources are linked in each tool's section below.
Try Voxel51 free with your own dataset
The Voxel51 free plan includes 3 datasets, 20GB of storage, and the Voxel51 Agent. No credit card, no time limit.
Voxel51
Why do FiftyOne users choose Voxel51?
Voxel51 is the multimodal data platform for physical AI, built on FiftyOne, with collaboration, governance, automation, and infrastructure for teams. FiftyOne users get the same foundation in a hosted workspace their whole team can share, with annotation, model evaluation, and native MCAP and LeRobot support on every plan, including free. When the data or the security requirements grow, Team and Enterprise add unlimited data and inference, self-hosted deployment, and on-premise and air-gapped options.
- Start free in your browser. 3 datasets of up to 10,000 samples each, 20GB of hosted storage, 30,000 model inference requests and 30 hours of compute a month, the Voxel51 Agent, SAM 2, and unlimited teammates. No time limit, no credit card. Source: voxel51.com
- Annotate where you curate. Agentic Labeling and annotator metrics on every plan, plus SAM 2 segmentation and tracking, Intelligent Review, and multi-stage review workflows. In-app annotation covers image, video, and 3D media, with 3D cuboids, 3D polylines, temporal events, and AI-assisted video tracking. Sources: voxel51.com and docs.voxel51.com
- Built for physical AI data. MCAP and LeRobot load natively on every plan. Camera, LiDAR, and sensor streams play in sync on one timeline, and segment-level embeddings search finds the exact moment inside an episode. Sources: voxel51.com (1, 2)
- Evaluate models on the same samples. Model comparison and scenario evaluation on every plan, from aggregate metrics down to individual predictions versus ground truth. Source: voxel51.com
- Deploy where your data lives. Self-hosted deployment on Team. On-premise and fully air-gapped deployment and a dedicated customer success engineer on Enterprise. Sources: voxel51.com (1, 2)
- Security your team can review. ISO 27001 certified with third-party penetration testing. SSO and PII and PHI protection on paid plans. Source: voxel51.com
- FiftyOne is Voxel51's open source toolkit, licensed Apache-2.0, with about 11k GitHub stars. Latest release v1.22.1 (September 29, 2026). Sources: pypi.org and github.com
- Native media types include image, video, 3D scenes, point clouds, and grouped multisensor datasets, plus custom media types such as audio. Source: docs.voxel51.com
- Plans are Free, Team, and Enterprise. Team adds unlimited data and inference and self-hosted deployment, and Enterprise adds on-premise and air-gapped deployment. Source: voxel51.com
Best for: FiftyOne users who want a shared, hosted workspace for their team, plus annotation, model evaluation, and physical AI formats in one place.
Open source labeling
Which open source labeling tools are FiftyOne alternatives?
Voxel51 includes annotation on every plan, including free. Agentic Labeling and annotator metrics are on every plan, and SAM 2 segmentation and tracking, Intelligent Review, and multi-stage review workflows run in the same workspace as curation and model evaluation. Labels connect straight to the samples your model gets wrong. CVAT, Label Studio, and X-AnyLabeling focus on the labeling step itself, and LightlyStudio adds curation for a single user.
CVAT
CVAT is an open source (MIT) annotation tool for images, video, 3D point clouds, and audio, with a managed cloud called CVAT Online, a self-hosted Enterprise edition, and labeling services. It added audio annotation in September 2026.
Best for: Teams that want a self-hosted open source labeling app with a large community.
- MIT license. Self-host CVAT Community with Docker Compose or Kubernetes. Source: github.com
- CVAT says its Community edition has "manual QA only, no automated quality assurance, no Single Sign-On (SSO), no Segment-Anything Model (SAM) integration." Source: cvat.ai
- CVAT Online Free includes 1 project, 3 tasks, and 1GB of storage. Source: cvat.ai
- Search covers task metadata and annotation filters. Embedding search and deduplication aren't listed in its docs. Source: docs.cvat.ai
Label Studio
Label Studio is HumanSignal's open source (Apache-2.0) labeling tool for text, audio, images, video, and time series, and it now leads with AI evaluation alongside labeling. In 2026 HumanSignal launched Interfaces, and LiDAR and DICOM run as interfaces in Label Studio Enterprise.
Best for: Open source labeling across many data types, and human evaluation of LLM and agent output.
- Community Edition is free under Apache-2.0 and installs with pip or Docker. Source: github.com
- Community Edition lacks reviewer assignment, RBAC, SSO, and agreement metrics, per Label Studio's compare page. Source: labelstud.io
- The hosted Starter plan is $99 a month, with a 14-day trial. Sources: humansignal.com (1, 2)
- LiDAR runs as an interface reading COPC files: "It runs as an Interface inside Label Studio Enterprise." Source: labelstud.io
X-AnyLabeling
X-AnyLabeling is a GPL-3.0 desktop labeling app for images, video, text, and point clouds, with SAM and vision-language model assist built in. It added 3D point cloud labeling in October 2026 and released v4.3.0 on October 31, 2026.
Best for: Individual labelers who want free, local, model-assisted labeling on a desktop.
- GPL-3.0, with prebuilt binaries for Windows, Linux, and macOS. Sources: github.com (1, 2)
- Its model library includes SAM 1, 2, and 3, Grounding DINO, Florence2, and Qwen3-VL. Source: github.com
- Point cloud labeling reads .bin, .ply, and .pcd files for 3D object detection and segmentation. Source: github.com
- v4.3.0 on PyPI and GitHub (October 31, 2026). Sources: pypi.org and github.com
LightlyStudio
LightlyStudio is Lightly's open source (Apache-2.0) tool for curating and labeling image and video datasets, paired with LightlyTrain for model training. In October 2026 it added MCAP indexing and 3D cuboid labeling on MCAP point clouds.
Best for: A single user curating and labeling one dataset locally, with a path to Lightly's training tools.
- The open source GUI is limited to a single user and a single dataset. Source: docs.lightly.ai
- MCAP indexing arrived in 1.1.3 (October 7, 2026) and MCAP point clouds with 3D cuboids in 1.2.0 (October 23, 2026). Source: github.com
- LightlyTrain is AGPL-3.0, which Lightly says also covers trained model weights, or a commercial license from $5,000 a year. Sources: pypi.org and docs.lightly.ai
Curation and data quality
Which FiftyOne alternatives focus on data curation and data quality?
Voxel51 ties curation to model behavior. Search by natural language, similarity, or events, flag duplicates and outliers, score data quality, then compare models on the same samples to see which data your model needs. Visual Layer, cleanlab, and Encord each cover part of that job, and all three changed in ways that matter in 2026.
Visual Layer and fastdup
Visual Layer is a hosted platform for finding duplicates, outliers, and quality issues in image and video datasets, with semantic search, and fastdup is its library for the same job. Camtek announced an agreement to acquire Visual Layer in April 2026, and fastdup's CC BY-NC-ND 4.0 license allows no commercial use and no sharing of adapted versions.
Best for: Research and other non-commercial projects that need fast deduplication and outlier detection on image datasets.
- Camtek announced the acquisition of Visual Layer in April 2026. Source: camtek.com
- fastdup is licensed CC BY-NC-ND 4.0, and PyPI lists it as "Other/Proprietary License (Non commercial)." Sources: github.com and pypi.org
- The free trial covers up to 10 datasets of 10,000 images each, and export "is not available on the trial version." Source: docs.visual-layer.com
- Self-hosting requires a Docker Hub access token from a Visual Layer representative. Source: docs.visual-layer.com
cleanlab
cleanlab is an Apache-2.0 Python library that uses your model's predicted probabilities and embeddings to flag label errors, outliers, and near duplicates. Cleanlab, the company, was acquired by Handshake AI in January 2026 and now sells AI agent guardrails, and the library's last release was v2.9.0 on January 13, 2026.
Best for: Python users who want to score label quality from their own model's outputs, without a UI.
- Apache-2.0, for text, audio, image, and tabular datasets. Source: github.com
- Issue types include label issues, outliers, near duplicates, and class imbalance. Source: docs.cleanlab.ai
- v2.9.0 (January 13, 2026) removed TensorFlow and Keras support. Source: github.com
- Handshake AI acquired Cleanlab on January 28, 2026, and cleanlab.ai now leads with detecting and remediating incorrect AI agent responses. Sources: cleanlab.ai (1, 2)
Encord
Encord is a data platform for annotation, curation, and alignment that also sells managed labeling and data collection services. Its former open source toolkit, Encord Active, is archived, and Encord's curation now lives in its paid platform.
Best for: Teams that want to outsource labeling or data collection, or whose work centers on documents, text, or LLM post-training.
- Encord's pricing page lists no free plan and doesn't publish prices. Source: encord.com
- The encord-active repository was archived on August 7, 2025, with its last push on May 23, 2025. Sources: github.com (1, 2)
- Encord's docs list MCAP as beta, enabled by support. Source: docs.encord.com
- LiDAR, 3D, DICOM, and geospatial data are add-ons on Team and included on Enterprise. Source: encord.com
Annotation platforms
Which commercial annotation platforms are FiftyOne alternatives?
Voxel51 brings your annotators or labeling vendor into the same workspace as curation and evaluation, with Agentic Labeling and annotator metrics on every plan, plus review workflows, so you label the samples your model needs before you pay for the rest. SuperAnnotate, V7, and Labelbox pair their platforms with labeling services. Dataloop, now part of Dell, and Supervisely sell the platform without a labeling workforce of their own.
SuperAnnotate
SuperAnnotate is an AI data platform for annotation and evaluation, with an editor for image, video, text, and audio plus LLM data, and a managed expert workforce. In 2026 it stopped creating point cloud projects (May 31) and removed similarity search and natural-language search (October 11).
Best for: Teams that want a managed annotation workforce for image, video, text, audio, and LLM data.
- Starter, Pro, and Enterprise plans, no published prices, and no free plan. Source: superannotate.com
- Since May 31, 2026, point cloud project types are unavailable during project creation. Source: doc.superannotate.com
- On October 11, 2026, "Find Similar, Annotate Similar, and Natural Language Search" were removed from Vector and Text projects and existing embeddings deleted. Source: doc.superannotate.com
- Lists SOC 2 Type II and ISO 27001:2022. Source: superannotate.com
V7 Darwin
V7 Darwin is a labeling platform for images, video, and medical imaging such as DICOM and NIfTI, with SAM 2, SAM 3, and expert labeling services. V7's main site now leads with V7 Go, a document workflow product, and Darwin has moved to its own domain.
Best for: Medical imaging and video labeling with expert annotators.
- Pricing is a custom quote: "Platform fee + User licenses + Data processing charges." Source: v7darwin.com
- SAM 3 text-prompt segmentation shipped February 4, 2026. Source: v7darwin.com
- The supported formats list covers images, PDF, video, DICOM, and NIfTI. 3D point clouds and MCAP aren't listed. Source: docs.v7labs.com
- FiftyOne's docs list a V7 annotation backend through the darwin-fiftyone package, which V7 marks as beta. Sources: docs.voxel51.com and pypi.org
Labelbox
Labelbox now leads with RL environments, managed agents, and expert human data for frontier AI labs, while its labeling platform (Catalog, Annotate, and Foundry) is still documented. It removed Model experiments on July 15, 2026.
Best for: Teams buying expert human data and labeling services for generative AI.
- Free plan with 500 LBU a month. Starter is $0.10 per LBU. Source: docs.labelbox.com
- "As of July 15th, the Model experiments feature is no longer available." Sources: docs.labelbox.com (1, 2)
- SaaS only. Labelbox sunset its on-premise offering, and data is stored in the US. Sources: docs.labelbox.com (1, 2)
- The DICOM editor was sunset November 25, 2024. Source: docs.labelbox.com
Dataloop (Dell Data Orchestration Engine)
Dataloop is now Dell Data Orchestration Engine (DDOE), part of Dell, an enterprise platform for unstructured data management, pipelines, and human-in-the-loop annotation. It took the DDOE name on March 30, 2026 and shipped its first on-premises installer in July 2026.
Best for: Enterprises that want data pipelines, annotation, and model evaluation in one sales-led platform.
- The March 30, 2026 release notes introduce "Dell Data Orchestration Engine, or DDOE," as part of Dell Technologies. Source: docs.dataloop.ai
- "To join DDOE, you'll need an invitation," and pricing is by demo. Sources: docs.dataloop.ai (1, 2)
- A Cleanup tab flags outliers and duplicates, and natural-language search runs through a CLIP model. Sources: docs.dataloop.ai (1, 2)
- LiDAR input is PCD with a 70 MB file limit. Source: docs.dataloop.ai
Supervisely
Supervisely is a proprietary labeling platform for images, video, 3D point clouds, DICOM, and audio, with model training, evaluation benchmarks, and an app ecosystem. Its free Community Edition is a hosted plan, and self-hosting is Enterprise only.
Best for: Teams that want a hosted labeling platform with 3D, medical, and audio toolboxes and built-in model benchmarks.
- Community Edition includes 5GB of storage, 10,000 files, and 2 members, and archives projects after 30 days of inactivity. Source: supervisely.com
- Self-hosting is Enterprise only and starts with a license key from Supervisely. Source: docs.supervisely.com
- The platform is proprietary under an EULA, and the Python SDK is Apache-2.0. Sources: supervisely.com and github.com
- Supervisely describes itself as "SOC2 aligned." Source: supervisely.com
Training and deployment
Which FiftyOne alternative also trains and deploys models?
Voxel51 focuses on the data behind your models. It curates, labels, and evaluates images, video, LiDAR, and robotics data, and integrates with cloud storage, vector search databases, model providers, and experiment tracking tools so it fits the training stack you already use. Roboflow is the alternative that adds hosted model training and deployment.
Roboflow
Roboflow is a platform for labeling, training, and deploying 2D vision models, with open source libraries such as supervision and a public hub of datasets and models. In 2026 it added an MCP server, Active Learning, and the Roboflow Agent.
Best for: Teams that want to label, train, and deploy 2D image models in one hosted workflow.
- The free tier includes 10 credits a month, and new workspaces allow data licensing and model training on private projects by default, with a free opt-out. Source: roboflow.com
- None of its 52 annotation formats are 3D or point cloud formats. Source: roboflow.com
- Near-duplicate detection runs through a third-party fastdup integration licensed "Free, non-commercial (CC BY-NC-ND 4.0)." Source: roboflow.com
- Roboflow's docs say evaluations run for models trained on or uploaded by paid users, while its pricing page lists model evaluation as included on the Free tier. Sources: docs.roboflow.com and roboflow.com
Robotics data
How do robotics data tools like Foxglove and Rerun compare with Voxel51?
Voxel51 turns robotics recordings into curated, labeled, and evaluated training data. It reads MCAP and LeRobot natively on every plan, plays camera, LiDAR, and sensor streams in sync on one timeline, and searches inside episodes with segment-level embeddings. Foxglove and Rerun focus on collecting, visualizing, and querying robot data.
Foxglove
Foxglove is a robotics data platform for collecting, visualizing, and debugging fleet data, with event tagging, search across recordings, and beta semantic search for curating training data. Since August 2026 it has positioned itself as a data platform for physical AI, with dataset curation as one of three pillars, and it offers a free plan and a Pro plan at $20 a month plus usage.
Best for: Robotics teams that need fleet data observability and playback for MCAP and ROS recordings.
- Free plan with 10GB of storage, 3 users, 5 devices, and 1 project. Pro is $20 a month plus usage. Source: foxglove.dev
- Semantic search launched in beta on August 18, 2026, with access by request. Source: foxglove.dev
- Events are "time-range annotations with typed properties." Box or segmentation labeling isn't listed. Source: foxglove.dev
- The Foxglove app is closed source. The MCAP library and Foxglove SDK are MIT. Sources: foxglove.dev and github.com
Rerun
Rerun is an open source SDK and viewer, dual-licensed Apache-2.0 and MIT, for logging, visualizing, and querying multimodal robotics data, and the free SDK includes SQL and dataframe queries over a local catalog. Rerun Hub is a commercial product priced through sales that adds a managed catalog over object storage and streaming to training.
Best for: Robotics engineers who log and replay multimodal data from code and want a free local catalog to query it.
- SDK is free. Hub is "priced per-deployment based on team size and data scale." Source: rerun.io
- Opens MCAP, LeRobot dataset directories, images, video, audio, and .ply point clouds. Source: rerun.io
- Embedding similarity search isn't built in. Rerun's DROID example runs search in LanceDB or Qdrant. Source: rerun.io
- Latest release 0.41.0 (October 28, 2026), and the README warns "Expect breaking changes!" Sources: github.com (1, 2)
Search your MCAP and LeRobot data in Voxel51
Upload MCAP or LeRobot episodes to a free workspace, or explore 1,000 DROID episodes or 2,378 LeRobot Community episodes first. Sign up with a work or .edu email.
Works alongside
Which tools work alongside Voxel51 instead of replacing it?
Voxel51 curates, labels, and evaluates the data that goes into your models, and it fits into a training stack with other tools. Pixeltable and MLflow handle jobs around that step, so teams often run them together with Voxel51 rather than choosing between them.
Pixeltable
Pixeltable is an Apache-2.0 multimodal database, orchestration, and serving layer for AI app backends. Its own comparison page calls Pixeltable versus FiftyOne "Not a replacement fight," says "Teams often use both," and Pixeltable ships an export to FiftyOne.
Best for: Production tables, incremental model inference, and serving, with curated data explored and evaluated in FiftyOne and Voxel51.
- Pixeltable's FAQ answers "Can Pixeltable replace the FiftyOne App?" with "No. That is the honest loss." Source: pixeltable.com
- pxt.io.export_images_as_fo_dataset() exports images with classification and detection labels as a FiftyOne dataset. Source: docs.pixeltable.com
- Self-hosted Pixeltable is "Apache 2.0 and free forever." Source: pixeltable.com
- Pixeltable has no annotation UI and removed its Label Studio integration in v0.6.7 (July 14, 2026). Source: docs.pixeltable.com
MLflow
MLflow tracks experiments and models, and Voxel51 curates and evaluates the data that goes into them, so the two fit together in one training pipeline.
Best for: Tracking training experiments and models alongside Voxel51.
Switching
How do I move from FiftyOne to Voxel51?
- Create a free Voxel51 workspace in your browser, with nothing to install and no credit card. Sign up with a work or .edu email.
- Upload images, video, MCAP, or LeRobot files from your computer.
- Explore 20+ demo datasets, including DROID, LeRobot Community, L2D 750, and PandaSet, while you get set up.
- Invite your whole team. The free plan includes unlimited teammates.
- Moving large labeled datasets or need a self-hosted deployment? The Voxel51 team can help you plan the move.
See Voxel51 on a dataset like yours
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FiftyOne alternatives: frequently asked questions
The best FiftyOne alternative depends on the job. Voxel51 is the multimodal data platform for physical AI, built on FiftyOne, with a free hosted plan and curation, annotation, and model evaluation in one place. For open source labeling, teams compare CVAT, Label Studio, and X-AnyLabeling. For data quality, Visual Layer and cleanlab. For managed labeling, SuperAnnotate, V7 Darwin, and Labelbox. For robotics data, Foxglove and Rerun.
Yes. Voxel51 is the hosted platform built on FiftyOne, and its free plan includes 3 datasets of up to 10,000 samples each, 20GB of hosted storage, 30,000 model inference requests and 30 hours of compute a month, the Voxel51 Agent, SAM 2, and unlimited teammates. It runs in the browser with nothing to install, no time limit, and no credit card. Sign up with a work or .edu email.
CVAT (MIT), Label Studio Community Edition (Apache-2.0), X-AnyLabeling (GPL-3.0), LightlyStudio (Apache-2.0), cleanlab (Apache-2.0), and the Rerun SDK and viewer (Apache-2.0 and MIT) are open source. Encord, Labelbox, SuperAnnotate, V7, Dataloop, and Supervisely open source only their SDKs. fastdup, from Visual Layer, uses CC BY-NC-ND 4.0, which bars commercial use. Voxel51 is built on FiftyOne, Voxel51's open source toolkit, and adds a free hosted plan.
Yes. Voxel51 natively supports images, video, 3D scenes, point clouds, and grouped multisensor datasets, plus custom media types such as audio, and reads MCAP and LeRobot on every plan. In-app annotation covers image, video, and 3D media with 3D cuboids, 3D polylines, temporal events, and AI-assisted video tracking. Camera, LiDAR, and sensor streams play in sync on one timeline.
Voxel51 is ISO 27001 certified and undergoes regular third-party penetration testing. Paid plans add SSO, PII and PHI protection, and role- and dataset-based access controls. Enterprise adds on-premise and fully air-gapped deployment, where Voxel51 runs inside your environment with no external connectivity after installation. See the Voxel51 security page for details.
No, by Pixeltable's own account. Pixeltable's comparison page calls Pixeltable versus FiftyOne "Not a replacement fight" and says "Teams often use both." Pixeltable is an open source multimodal database and serving layer for AI app backends, and it ships an export function that turns Pixeltable tables into FiftyOne datasets. FiftyOne and Voxel51 cover visualization, curation, and model evaluation.
Encord Active, Encord's former open source toolkit, was archived on GitHub on August 7, 2025, with its last push on May 23, 2025. Encord renamed the in-platform feature "Label exploration" in May 2026, and Encord's curation now lives in its paid platform, which lists no free plan. Voxel51 offers curation, annotation, and model evaluation on a free hosted plan with no time limit.
A FiftyOne alternative for physical AI should read MCAP and LeRobot natively, play camera, LiDAR, and sensor streams in sync, search inside episodes rather than only across files, connect curation and annotation to model evaluation, and deploy where your security team needs it. Voxel51 reads MCAP and LeRobot natively on every plan, including free, and offers on-premise and air-gapped deployment on Enterprise.
Every competitor fact in this guide comes from that vendor's own website, documentation, pricing page, GitHub repository, changelog, or PyPI listing, and each fact links to its source in the tool sections above. Voxel51 details come from the Voxel51 pricing, get started, and security pages and the FiftyOne documentation at docs.voxel51.com. All facts were verified on November 2, 2026.
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