Diffgram

The Training Data Platform for Machine Learning.

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Overview

Diffgram is an open-source platform for creating and managing training data for machine learning. It provides a suite of tools for data annotation, workflow automation, and data versioning. Diffgram is designed to be a comprehensive solution for the entire training data lifecycle and can be self-hosted for maximum control and security.

✨ Key Features

  • Annotation for images, videos, and other data types
  • Workflow automation and orchestration
  • Dataset management and versioning
  • Open-source and self-hostable
  • Collaborative annotation features

🎯 Key Differentiators

  • Open-source and self-hostable
  • Comprehensive platform for the entire training data lifecycle
  • Focus on workflow automation

Unique Value: Diffgram provides a powerful and flexible open-source platform for managing the entire training data lifecycle, giving teams complete control and ownership of their data.

🎯 Use Cases (3)

Computer Vision Natural Language Processing Data-centric AI

✅ Best For

  • Building training datasets for object detection models
  • Managing and versioning large-scale annotation projects
  • Automating data labeling workflows

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Teams that prefer a fully managed, cloud-based solution without any self-hosting

🏆 Alternatives

Label Studio CVAT Labelbox

As an open-source solution, Diffgram offers a high degree of customization and control that is not available in most commercial platforms, but it requires more technical resources to implement and maintain.

💻 Platforms

Web Self-Hosted

🔌 Integrations

Python SDK API AWS S3 GCP Cloud Storage Azure Blob Storage

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ GDPR ✓ SSO ✓ GDPR

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Free and open-source for self-hosting.

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