by expectedparrot · Agent Tool · ★ 457
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 457 |
| Forks | 71 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 34.75/100 |
| Open Issues | 29 |
| Last Updated | 2026-04-30 |
| Created | 2024-01-02 |
| Platforms | python |
| Est. Tokens | ~10064k |
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edsl is 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.. It is categorized as a Agent Tool with 457 GitHub stars.
edsl is primarily written in Python. It covers topics such as anthropic, data-labeling, deepinfra.
You can find installation instructions and usage details in the edsl GitHub repository at github.com/expectedparrot/edsl. The project has 457 stars and 71 forks, indicating an active community.
edsl is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to edsl on Agent Skills Hub include autollm, palico-ai, ai-microcore. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.