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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

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