AgentIndex icon
AgentIndex
Agently logo
Agently
★ 1.7k
vs
stata-code logo
stata-code
★ 51

Agently vs stata-code

Agently: Agently is a Python-based framework designed to accelerate GenAI application development by abstracting complexities and providing full control over business logic. It focuses on bridging the gap between large language models and real-world production systems, ensuring reliability, traceability, and maintainability.; stata-code: `stata-code` is an agent-native Stata bridge that allows driving Stata from modern development environments like LLM agents, Jupyter notebooks, or VS Code using a unified Python core. It provides structured, token-efficient results and supports complex empirical econometrics workflows with cross-validation.

01

TL;DR

Agently logo
AgentlyDev Tooling · ★ 1.7k

Building robust GenAI applications from demo to production.

Read Agently full review →
stata-code logo
stata-codeDev Tooling · ★ 51

Drive Stata commands and analyze results using LLM agents like Claude Code

Read stata-code full review →
02

Side-by-Side Comparison

Field
Agently logoAgently
stata-code logostata-code
Category
Dev Tooling
Dev Tooling
Stars
★ 1.7k
★ 51
License
Apache-2.0
MIT
Install Command
pip install -U agently
pip install "stata-code[mcp,kernel]"
Updated
1w ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
GenAI, Python, LLM Orchestration
Stata, Python, LLM Agents
03

Features

Agently logoAgently
01Structured and Streamed Output Control for LLMs
02Provider Compatibility (Local / Hosted / Proxy)
03Output Reliability (ensure_keys + retries)
04Framework-native Tooling with Traceability
05Workflow Orchestration (TriggerFlow)
stata-code logostata-code
01MIT License for open and commercial integration
02Unified, agent-native structured result format for LLMs
03Multiple frontends: Jupyter kernel, MCP server, VS Code extension, and CLI from a single Python core
04Supports Stata 17+ (pystata) and Stata 13+ (console backend without pystata)
05Built-in support for empirical econometrics workflows (DiD, IV, RDD) with cross-validation
04

Use Cases

Agently logoAgently
↳Building robust GenAI applications from demo to production.
↳Developing real-time interactive AI companions or chatbots with mixed structured/unstructured outputs.
↳Implementing enterprise-grade RAG systems with traceable and defensible answers.
stata-code logostata-code
↳Drive Stata commands and analyze results using LLM agents like Claude Code
↳Execute Stata code directly within Jupyter notebooks or JupyterLab
↳Develop Stata projects with enhanced features in VS Code, including syntax highlighting, outline, and code-lens runner
↳Automate and cross-validate complex empirical research workflows in econometrics
↳Integrate Stata into Python applications for programmatic control and data processing
05

Best For

Agently logoAgently
EssentialTrending
stata-code logostata-code
—
FAQ

FAQ

What is the difference between Agently and stata-code?
Both Agently and stata-code are in the Dev Tooling category. Agently has 1.7k stars, while stata-code has 51 stars.
Which is better, Agently or stata-code?
The best choice depends on your use case. Choose Agently if Building robust GenAI applications from demo to production., and stata-code if Drive Stata commands and analyze results using LLM agents like Claude Code.
Is Agently free or open source?
Yes, Agently is open source on GitHub (Apache-2.0).
Is stata-code free or open source?
Yes, stata-code is open source on GitHub (MIT).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related

Alternatives to Agently →Alternatives to stata-code →Agently details →stata-code details →