← Back to search
github Active

Repository profile

argilla-io/distilabel

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Python Apache-2.0 main Stack scanned README.md
Stars
3,326
Forks
247
Watchers
23
Issues
99
Commits
846
Awesome lists
1

Repository updates

Follow repository updates

Get generated argilla-io/distilabel development summaries by email, or follow the weekly and monthly RSS feeds.

Sign in to subscribe by email. RSS feeds are public.

Sign in to subscribe

Activity and growth

Tracked growth, recent movement, and commit velocity from stored repository snapshots.

Latest capture 2026-07-15 03:04

Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
Stars since baseline
+97
Snapshot coverage
5

Tracked growth

5 captures since 2026-05-25

Stars from baseline +97

Time horizon

All tracked data

Stars history

Total stars

Commits history

Default branch commits

Detected stack

Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.

Scanned 2026-07-15 03:04

Stack signals
1
Package managers
1
Manifest files
1
Dependencies
66

Frameworks and tools

  • pytest test framework · high confidence
PEP 517 python

Dependency files

1 manifest
  • pyproject.toml python ecosystem, 66 dependencies

Classification

Searchable topics, generated tags, and stack labels that explain where this repository fits.

Topics
9
Tags
0
Stacks
1

Generated tags

No generated tags yet.

Stack labels

AI development signals

Agent instructions and tool configuration paths found in the repository tree.

0 paths
No AI development config files detected.

Similar repositories

Nearest indexed repositories by embedding similarity.

argilla-io/argilla

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

5,034 stars
Python 1 awesome list

cleanlab/cleanlab

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

11,572 stars
Python 3 awesome lists

HumanSignal/label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

27,853 stars
TypeScript 1 awesome list

ludwig-ai/ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

11,737 stars
Python 2 awesome lists

huggingface/datasets

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

21,718 stars
Python 1 awesome list

run-llama/llama_index

LlamaIndex is the leading document agent and OCR platform

50,904 stars
Python 5 awesome lists

Metadata

Language
Python
License
Apache-2.0
Default branch
main
Created
2023-10-16
First commit
2023-10-16
Last pushed
2026-07-13
GitHub updated
2026-07-14
Last synced
2026-07-15 03:04
Stack detected
2026-07-15 03:04
Archived
no
GitHub Website

https://distilabel.argilla.io

README

Appears in

1