LangGraph vs nixtla
LangGraph and nixtla are both agent frameworks for Python. LangGraph is published by LangChain and nixtla by Nixtla. On GitHub, LangGraph has 43,823 stars and nixtla has 4,032. Both were last active in Oct 2026. The table lines up where they differ (publisher, GitHub stars and weekly downloads) and has the install commands for both. Everything here comes from the listings' public sources and is refreshed daily. LangGraph describes itself as: Low-level Python orchestration framework for long-running stateful agents, with durable execution, human review points and short- and long-term memory. nixtla: Python SDK for TimeGPT, a time series foundation model for forecasting and anomaly detection. Licenses: LangGraph MIT, nixtla unknown.
Updated Oct 26, 2026 · Built from catalog data; how we rank and grade
LangGraph
LangChain
Low-level Python orchestration framework for long-running stateful agents, with durable execution, human review points and short- and long-term memory.
nixtla
Nixtla
Python SDK for TimeGPT, a time series foundation model for forecasting and anomaly detection.
Who should pick which
- Pick LangGraph if you need several agents working together.
- LangGraph has the larger community: 43,823 GitHub stars against 4,032.
From listing data only. We don't pick a winner on security beyond the grades; read how grades work.
Side by side
| Fact | LangGraph | nixtla |
|---|---|---|
| Type | Harness | Harness |
| Publisher | LangChain | Nixtla |
| License | MIT | License unknown |
| Pricing | Not stated | Not stated |
| Runs | Not stated | Not stated |
| Auth | Not stated | Not stated |
| Hosts supported | Not stated | Not stated |
| Tools | Not listed yet | Not listed yet |
| Security grade | –Security: not graded yet | –Security: not graded yet |
| Freshness grade | AFreshness: A | AFreshness: A |
| GitHub stars | 43,823 | 4,032 |
| Weekly downloads | 13,114,431 | 28,209 |
| Last release | Oct 24, 2026 | Sep 21, 2026 |
| Last activity | Oct 24, 2026 | Oct 22, 2026 |
Facts from each listing's public sources, checked daily. Tool lists arrive with tool scans.
Install
LangGraph
pip install langgraph
nixtla
pip install nixtla
Also consider
- 0.771score
Ax
Ax
DSPy-style toolkit for typed LLM signatures, agents and flows, TypeScript-first with Python, Java, C++, Go and Rust libraries.
HarnessAFreshness: A★ 3K↓ 27.2K/wk - 0.753score
LangChain
LangChain
Python framework of interoperable components and integrations for building agents and LLM apps, with LangGraph and Deep Agents layered above it.
HarnessAFreshness: A★ 148.4K↓ 37.3M/wk - 0.738score
DSPy
Stanford NLP
Python framework for writing language-model programs as code and optimizing their prompts and weights instead of hand-tuning prompts.
HarnessAFreshness: A★ 38.8K↓ 1.3M/wk
Questions
- Is LangGraph or nixtla more popular?
- LangGraph has more GitHub stars (43,823 against 4,032). Stars measure attention, not quality, so check freshness and docs too.
- Are LangGraph and nixtla open source?
- LangGraph is open source (MIT); the other is unknown.
Related
Cite this page
LangGraph vs nixtla. Agent Mart. https://agentmart.dev/compare/langgraph-vs-nixtla (last updated 2026-10-26)