expectedparrot / edsl
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
Why this job: topics: llm-agent, llm-framework
What it does
EDSL makes it easy to conduct computational social science and market research with AI. Use it to design and run surveys and experiments with many AI agents and large language models at once, or to perform complex data labeling and other research tasks. Results are formatted as specified datasets that can be replicated at no cost, and come with built-in methods for analysis, visualization and collaboration.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 516
- +4 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- wasm-wheel
- Released 8 months ago
- Built with
- Python
- 95% of the code
Is it looked after?
- Contributors
- 4
- Last 90 days
- Issues
- 96% closed
- 51 still open
- Pull requests
- 1,372 merged
- 12 waiting
- Releases
- 1
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 95%
- Jupyter Notebook 4%
- Makefile <1%
- Jinja <1%
Topics
- anthropic
- data-labeling
- deepinfra
- domain-specific-language
- experiments
- llama2
- llm
- llm-agent
- llm-framework
- llm-inference
- market-research
- mixtral
Project record
- JobAgent frameworks
- StatusListed
- Commits8,388
- Forks90
- Watching7
- Stars in 28 days+12
- CreatedJan 2, 2024
- First seen by usNov 7, 2026
- CheckedNov 9, 2026
