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Activeloop

Manage and version datasets for ML.

Not yet ratedOpen Source60

Rate Activeloop

Activeloop is a data platform for machine learning that enables versioning, querying, and visualizing datasets. It provides a scalable infrastructure for storing and streaming large-scale datasets, making it easier for ML teams to collaborate and iterate.

Pros & Cons

Pros

  • New tool — early adopter advantage
  • Open source — free to use and self-host
  • Flexible pricing tiers for different team sizes

Cons

  • No verified reviews yet — limited community feedback
  • No free tier — paid plans required

Best Use Cases

👨‍💻

Software Development

Build and ship software faster with Activeloop's developer tools and integrations.

🔄

DevOps & CI/CD

Automate workflows and streamline your development pipeline.

👥

Team Collaboration

Enable seamless code review and pair programming across your team.

Key Features

  • GPU-native compute
  • Storage
  • Enterprise features
  • Data Transfer (Egress) starting at $0.09 per GB
  • Compute resources: Mini, Small, Large

Frequently Asked Questions

What is Activeloop?

Activeloop is Manage and version datasets for ML.

Is Activeloop free?

Activeloop does not offer a free tier. Plans start at $15 credit.

What are the best alternatives to Activeloop?

The best alternatives to Activeloop include Unkey, Trigger.dev, Parlant. The right choice depends on your specific needs and budget.

Is Activeloop open source?

Yes, Activeloop is open source with 60 GitHub stars. You can view and contribute to the source code on GitHub.

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