GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
edsl stands out for designing AI-powered surveys and experiments in social science and market research by letting users simulate large-scale studies involving multiple AI agents and LLMs.
Good fit when
- When conducting complex simulations of social science studies that require the use of multiple AI agents or interactions with LLMs.
- For market research scenarios where the design calls for analysis using a high volume of synthetic data generated by different levels of language models.
Avoid when
- If your project requires real human responses and feedback in experiments, edsl is a system designed around AI agents rather than living participants.
- In cases where the scope of the experiment does not involve social science or require significant simulation capabilities with large numbers of AI entities.
Observed Jul 15, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install edslSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
expectedparrot/edsl is a Python-based platform to design, conduct, and analyze results of AI-powered surveys and experiments, particularly useful in social science and market research through simulation with large numbers of AI agents and LLMs.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Getting started 1. Run to install the package. See <a href="https://www.expectedparrot.com/getting started" target=" blank" rel="noopener noreferrer" instructions</a . 2. <a href="https://www.expectedparrot.com/login" target=" blank" rel="noopener noreferrer" Create an account</a...
For agents
This page has a .md twin and JSON over the API.