Captum records 4,464 monthly visits with -42.7% month-over-month growth and Free pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.
Open-source model interpretability for PyTorch
The environments frontier AI trains on, and the agents that do the recurring work
| Dimension / Metric | | |
|---|---|---|
| Official Domain | captum.ai | labelbox.com |
| Pricing Model | Free | Contact for Pricing |
| Monthly Visits | 4.46K (4,464) | 762.8K (762,803) |
| MoM Traffic Delta | -3.33K (-42.7%) | -225.17K (-22.8%) |
| Primary Market & Share | 🇺🇸 United States (97.2%) | 🇺🇸 United States (21.9%) |
| Direct Visits / mo | 1.56K | 370.02K |
| User Rating | 4.7 | 4.4 |
| Supported Platforms | Website | Website |
Open-source model interpretability for PyTorch
Integrated Gradients, GradientShap, Saliency, Occlusion, DeepLIFT and related methods behind a single consistent interface.
Works across vision, text and other modalities, so the same interpretability workflow applies to different model types.
Supports most PyTorch model architectures and requires little or no modification to the original network.
An open-source, generic library for interpretability research where new algorithms can be implemented and benchmarked.
The environments frontier AI trains on, and the agents that do the recurring work
Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
SpecialistStreamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration.
SpecialistStreamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration.
SpecialistRelies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox.
Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox.
Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox.
Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams.
Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling.
Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling.
One universal API for 500+ AI models and 1,000+ agentic tools
Free / Open-sourceProvides a flexible open-source alternative for custom data labeling, but requires self-hosting and manual infrastructure maintenance.
Free / Open-sourceProvides a flexible open-source alternative for custom data labeling, but requires self-hosting and manual infrastructure maintenance.
SpecialistFocuses strictly on LLM evaluation, testing, and observability rather than raw data annotation and training dataset curation.
SpecialistFocuses strictly on LLM evaluation, testing, and observability rather than raw data annotation and training dataset curation.
Free / Open-sourceHuawei's open-source all-scenario deep learning framework
Free / Open-sourceHuawei's open-source all-scenario deep learning framework
Free / Open-sourceThe memory operating system for AI agents
