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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.

Updated
2026-07-13
Lists
1 list mention
First commit
2023-10-16
History
5 history points
License
Apache-2.0
Issues
99 open
Forks
247
Commits
846 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
bespokelabsai/curator

Synthetic data curation for post-training and structured data extraction

Updated
2026-07-13
Lists
1 list mention
First commit
2024-10-28
History
5 history points
License
Apache-2.0
Issues
67 open
Forks
142
Commits
1,607 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
datadreamer-dev/DataDreamer

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

Updated
2025-02-02
Lists
1 list mention
First commit
2024-02-01
History
4 history points
License
MIT
Issues
5 open
Forks
59
Commits
83 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
BatsResearch/bonito

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

Updated
2025-07-15
Lists
1 list mention
First commit
2024-02-25
History
4 history points
License
BSD-3-Clause
Issues
6 open
Forks
56
Commits
35 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history