ActiveLoop vs Toloka
AI-enhanced independent comparison — features, pros, cons, pricing and rankings.
| Dimension | ActiveLoop | Toloka |
|---|---|---|
| Accuracy & Reliability | ||
| Ease of Use | ||
| Features & Capability | ||
| Value for Money | ||
| Performance & Speed | ||
| Popularity & Adoption |
Who each tool serves best — and when to pick the other one.
This tool fits if you are a data scientist or ML engineer managing large datasets.
- You need to manage large-scale datasets efficiently.
- You want seamless integration with ML frameworks.
- Your team requires effective data annotation tools.
Skip this tool if you need extensive free usage or are not focused on dataset management.
- You need a fully free solution for extensive use.
- You require advanced analytics features not focused on datasets.
- You prefer tools with extensive collaboration features.
The ability to efficiently manage and annotate large-scale datasets.
This tool fits if you need scalable data annotation with quality control, work in machine learning, or require human insights for your datasets.
- You need scalable data annotation for machine learning projects.
- You want automated quality control to ensure data accuracy.
- Your team requires a platform that integrates human insights.
Skip this tool if you have a very small dataset, need a completely free solution, or prefer fully automated data processes without human input.
- You need a completely free data annotation solution.
- Free-tier limits are a blocker for your data volume.
- You require fully automated data processing without human input.
The most important deciding factor is the need for high-quality, human-annotated data at scale.
A canonical comparison across capabilities common to this category. Vendor-specific extras appear below in "Highlighted Features".
| Capability | ActiveLoop | Toloka |
|---|---|---|
|
Free Tier Available
Usable without payment (with usage limits)
|
✓ | — |
| Feature | ActiveLoop | Toloka |
|---|---|---|
| Data Annotation | Tools for annotating datasets. | Scalable data annotation services |
Each tool's marketing-listed features. Where a feature appears under one tool but not the other, it usually reflects how the vendor describes their product — not a definitive capability gap.
- Dataset management — Efficiently manage large-scale datasets.
- Deep Lake Format — Unique format for unstructured data.
- ML Framework Integration — Integrates with popular ML frameworks.
- Collaboration Tools — Features for team collaboration.
- Quality Control — Automated quality assurance processes
- Crowd Sourcing — Access to a large pool of annotators
- Efficient dataset management
- Seamless integration with ML frameworks
- Unique storage format for unstructured data
- User-friendly interface
- Strong community support
- Robust platform for data annotation
- Effective quality control mechanisms
- Large crowd of annotators available
- Freemium model may limit extensive use
- Less suited for advanced analytics needs
- Pricing may be high for small teams
- Limited free-tier options
- Managing large datasets for ML projects
- Annotating images and videos
- Versioning datasets
- Integrating with ML workflows
- Training machine learning models
- Evaluating AI performance
- Data preparation for analytics
Where each tool runs — web, mobile, desktop, browser extension, API.
The underlying AI models each tool runs on. Model details show on hover.
No models confirmed.
Natural languages each tool generates and understands. Primary languages are listed first.
What each tool can accept (input) and produce (output) — text, image, audio, video, code.
ActiveLoop offers a free plan with limited features and paid plans for more extensive use.
-
Free
Free -
Pro
popular
$20.00/mo -
Team
$30.00/mo
Toloka offers paid plans for data annotation services, with pricing based on usage.
-
Basic
$50.00/mo -
Pro
popular
$100.00/mo
Regulatory frameworks each tool claims compliance with (HIPAA, SOC 2, GDPR, etc.).
Vendor-published numbers each tool highlights — usage scale, breadth, and operational stats. Different tools track different metrics, so direct row-by-row comparison usually isn't meaningful.
- Max dataset size Unlimited (cloud)
- Supported data types Image, video, audio, text
No metrics published.
Languages, frameworks, databases, and infrastructure each tool is built on. Mostly relevant for self-hosted or open-source tools.
Stack not disclosed.
Who each tool is positioned for — primary audience first.
No specific audience listed.
How you can reach support — email, live chat, phone, community, docs.
- Documentation primary visit ↗
- Email primary
How each tool is classified in the Volvenix catalog.
These vocabulary domains are managed in our catalog but not yet exposed at the tool level. We're tracking them for future expansion of this comparison.
- Encryption Types — AES-256, ChaCha20, RSA-2048, and similar at-rest/in-transit cipher families.
- Encryption Contexts — where encryption is applied (data at rest, in transit, end-to-end).
- Plan-tier Model Mapping — which AI models are available on which pricing tier (currently only the model list is tracked, not the per-plan availability).
- What is this tool?
- ActiveLoop is a platform for managing and annotating large datasets.
- How much does it cost?
- ActiveLoop offers a free plan and paid plans starting at $20/month.
- Does it have a free plan?
- Yes, ActiveLoop has a free plan available.
- What integrations does it support?
- ActiveLoop integrates with popular ML frameworks.
- Who is it best for?
- It is best for data scientists and ML engineers.
- What is this tool?
- Toloka is a platform for scalable data annotation and evaluation.
- How much does it cost?
- Toloka offers subscription plans starting at $50 per month.
- Does it have a free plan?
- No, Toloka does not offer a free plan.
- What integrations does it support?
- Toloka currently does not list specific integrations.
- Who is it best for?
- Toloka is best for ML teams and researchers needing annotated data.
| Info | ActiveLoop | Toloka |
|---|---|---|
| Pricing | Freemium | Paid |
| Category | AI Security, Safety & Governance | AI Security, Safety & Governance |
| Deployment | Cloud | Cloud |
| Learning Curve | — | Intermediate |
| Free Plan | ✓ | ✗ |
| AI Agent | ✗ | ✗ |
ActiveLoop has an overall score of 5.7/10 and offers a freemium pricing model, allowing users to access basic features for free with options to upgrade. Toloka scores slightly lower at 5.4/10 and uses a paid pricing structure, typically requiring users to pay for access or usage. While ActiveLoop focuses on data management and machine learning workflows, Toloka is primarily designed for crowdsourcing and data labeling tasks.
ⓘ How Volvenix scores work
Scores are computed by Volvenix — not supplied by the vendors, and not third-party benchmark results. Each 0–10 dimension (Overall, Features, Usability, Support, Pricing) is a directional estimate aggregated from catalog signals — editorial cataloguing, content depth, engagement, and provider-reputation indicators — so treat them as a starting point, not a lab result.
Confidence reflects how complete the underlying data is for both tools; lower confidence means fewer signals were available, not a worse tool. We never accept payment for rankings or scores. More about how Volvenix works →