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.
⚡ Executive Summary & Quick Facts
Authoritative Sourceedsl is edsl is an open-source project written in Python: 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 provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.
| Repository | expectedparrot/edsl ↗ |
|---|---|
| Primary Category | anthropic |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 507 stars · ⑂ 87 forks · #8,998 globally |
| Maintenance | ● Active (Last commit: Oct 17, 2026) · 59 open issues |
| Replaces SaaS | Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) → |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+13
STARS · LAST 30 DAYS
1
PER DAY
#1,181
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +13 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
edsl gained 13 stars in the last 30 days, about 1 a day, and now has 507. It is about 3 years old and has averaged roughly 169 stars a year. It ranks #1,181 among Python repositories and #8,998 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#9371
BEST RANK
Oct 17, 2026
FIRST APPEARANCE
Active
STATUS TODAY
edsl has maintained a continuous presence across global trending indexes, peaking at #9371. Below is the 30-day activity profile:
💡 Overview
edsl is an open-source project written in Python: 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.
Engineered for speed, consistency, and developer ease, it solves common hurdles in anthropic, data-labeling, deepinfra. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install edsl⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
edsl coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with edsl.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install edsl using your package manager: `pip install edsl`
Initialize your project workspace or configuration file for edsl.
Import edsl into your codebase or invoke it directly from your terminal.
Execute your test suite or run `edsl --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
expectedparrot/edsl is currently ranked #8,998 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,988 | JetBrains/godot-support | Kotlin | ★ 508 | Compare ↗ |
| #8,988 | Dwinovo/minecraft-numen | Java | ★ 508 | Compare ↗ |
| #8,988 | echoVic/orca-agent | Rust | ★ 508 | Compare ↗ |
| #8,988 | DavidCarliez/trustmebro | Go | ★ 508 | Compare ↗ |
| #8,988 | FluidInference/FluidUse | Swift | ★ 508 | Compare ↗ |
| #8,998 | expectedparrot/edsl This Project | Python | ★ 507 | |
| #8,998 | Epix-Incorporated/Adonis | Luau | ★ 507 | Compare ↗ |
| #8,998 | canpool/qtcanpool | C++ | ★ 507 | Compare ↗ |
| #8,998 | apache/rocketmq-clients | Java | ★ 507 | Compare ↗ |
| #8,998 | OpenGeometry-io/OpenGeometry | Rust | ★ 507 | Compare ↗ |
| #8,998 | agentregistry-dev/agentregistry | Go | ★ 507 | Compare ↗ |
Frequently Asked Questions
What does edsl do? +
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.
What language is edsl written in? +
The primary language is Python. Topics include: anthropic, data-labeling, deepinfra, domain-specific-language, experiments.
Is edsl actively maintained? +
Yes, the last recorded push was on Oct 17, 2026 with 59 open issues being tracked.
How many stars does edsl have? +
edsl has 507 stars and 87 forks on GitHub.
How does edsl rank among GitHub repositories? +
With 507 stars, expectedparrot/edsl is ranked #8,998 globally across all repositories tracked on GitHubRepo and #1,181 among Python projects.
What license is edsl distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
