Training Data Platform in One Application

Complete training data platform for machine learning delivered as a single application.

Who is Diffgram for?

Data Scientists, Project Admins, Software Engineers,
Data Annotators and Subject Matter Experts.

What problem does Diffgram solve?

The current state of multiple tools is a huge pain.
Integrating these complex toolchains, context switching, human training,
costs for multiple applications all add up.

Why Diffgram?

Diffgram solves this by bringing all the functions of a complex
toolchain directly into one application. Replacing as many as 9 tools
with one single integrated application.

What are Diffgram’s competitive advantages?

One single Application with all the features you require.


Disclaimer

Enterprise Questions? Please contact us.

Support & Community

  1. Open an issue (Technical, bugs, etc)
  2. 😍 Join us on slack!
  3. Forum (Coming Soon)

Security issues: Do not create a public issue. Email [email protected] with the details.
Docs

Quickstart

Try Diffgram Online (Hosted Service, No Setup.)

Diffgram Dev Installer Quickstart

Requires Docker and Docker Compose

git clone https://github.com/diffgram/diffgram.git
cd diffgram
pip install -r requirements.txt
python install.py
# Follow the installer instruction and 
# After install:  View the Web UI at: http://localhost:8085

Read also our Docker compose commands cheat-sheet

Bugs and Issues

If you see any missing features, bugs etc please report them
ASAP to diffgram/issues.

Contributing

See Contribution Guide for more.
More on Understanding Diffgram High Level

Cloud

Other Getting Started Docs:

What is Diffgram a drop in replacement for?

Diffgram is a drop in replacement for the following systems:
Labelbox, CVAT, SuperAnnotate, Label Studio (Heartex),
V7 Labs (Darwin), BasicAI, SuperbAI, Kili-Technology, HastyAI, Dataloop, Keymakr.

Directionally, Diffgram will replace Aquarium Learning, Scale Nucleus, DVC, ActiveLoop and more.

How much does this cost?

First, the Full Platform is Open Source. There is no trick where it "sort of works"
but you need to pay for a SaaS service to really use it. This is the full core product.

What limits are there on the free edition?

If you have less then 20 people using it there are few intentional limits you are likely to bump into.

If you have 20+ people using it we encourage you to consider Enterprise Edition.

If you have 30+ people using for an extended period of time without upgrading
to Enterprise you may hit some limits.
We reserve the right to publish more assertive limits in future editions to encourage
good enterprise citizens who are happy and using the software to support it via Enterprise.

Features

This is an ACTIVE project. We are very open to feedback and encourage you to create Issues and help us grow!

User Friendly

  • NEW Streamlined Annotation UI suitable both from "First Time" Subject Matter Experts, and powerful options for Professional Full Time Annotators

Ingest

Ingest prediction data without a software engineer.

Store

Collaboration across teams between machine learning, product, ops, managers, and more.

  • Store virtually any scale of dataset and instantly access slices of the data to avoid having to download/unzip/load.
  • Fast access to datasets from multiple machines. Have multiple Data Scientists working on the same data.
  • Integrates with your tools and 3rd party workforces. Integrations
    It's a database for your training data, both metadata and access of raw BLOB data (over top of your storage choice).

Workflow

Manage Annotation Workflow, Tasks, Quality Assurance and more.

  • One click create human review Pipelines.
  • Webhooks with Actions
  • Easily annotate a single dataset, or scale to hundreds of projects with
    thousands of subdivided task sets. Includes easy search and filtering.
  • Fully integrated customizable Annotation Reporting.
  • Continually upgrade your data, including easily adding more depth
    to existing partially annotated sets.

Annotation

Fully featured data annotation tool for images and video to create, update, and maintain high quality training datasets.

Schema (Ontology): Diffgram supports all popular attributes and spatial types including Custom Spatial types.
(Best Data Annotation for AI/ML)

Annotation Automation

Run models instantly with Javascript or make API calls to any language of your choice.

General purpose automation language, solve any annotation automation challenge.
Less annotation and automation costs.

Stream to Training - Coming Soon

Easier and faster for data science. Less compute cost. More privacy controls.
Load streaming data from Diffgram directly into pytorch and tensorflow with one line (coming soon)

Explore

Skip downloading and unzipping massive datasets. Explore data instantly through the browser.

Debug

Use your models to debug the human. Visually see errors.

Diffgram is an amazing way to access, view, compare, and collaborate on datasets to
create the highest quality models. Because these features are fully integrated with the Annotation Tooling, it's absolutely seamless to go from spotting an issue, to creating a labeling campaign, updating schema, etc to correct it.

  • Uncover bad data and edge cases
  • Curate data and send for labeling with one click
  • Automatic error highlighting (Coming Soon)

Secure and Private

  • Runs on your local system or cloud. Less lag, more secure, more control. Security and Privacy
  • Enforce PII & RBAC automatically across life-cycle of
    training data from ingest to dataset to model predictions and back again (Coming Soon)

Tested and Stable Core

Fully integrated automatic test suite, with comprehensive End to End tests and many unit tests.

Flexible & Scaleable

  1. Flexible deploy and many integrations - run Diffgram anywhere in the way you want.
  2. Scale every aspect - from volume of data, to number of supervisors, to ML speed up approaches.
  3. Fully featured - 'batteries included'.

Docs

Docs

Vision

  1. Application: Support all popular media types for raw data; all popular schema, label, and attribute needs; and all annotation assist speed up approaches
  2. Support all popular training data management and organizational needs
  3. Integrate with all popular 3rd party applications and related offerings
  4. Support modification of source code
  5. Run on any hardware, any cloud, and anywhere

Technical Direction

Speed Ups & AI

Latest AI + More

Integrations

Note for initial open core release Actions Hooks are not yet available.
Please see Diffgram.com and use them there if needed.

Contributing

We welcome contributions! Please see our contributing documentation.

Architecture & Design Docs

We plan to release more internal architecture docs over time. Please see the general docs in the mean time.

Comparison Disclaimer

IMPORTANT Disclaimer: Our opinions based on how we define the above categories. Subject to change. A vendor may offer something in one of these categories that doesn’t meet our definition of the category. Some Diffgram checkmarks include items coming soon.

GitHub

https://github.com/diffgram/diffgram#Ingest