Devtoolwatch BoardGet it every Monday

Ollama review

Ollama is a tool for running and building with open AI models locally or in the cloud on macOS, Windows, and Linux.

Updated Nov 1, 2026. Review written Oct 25, 2026 from the project's own sources; usage data refreshed every Monday.

TL;DR

Ollama runs open models such as Gemma, Qwen, DeepSeek, and gpt-oss on your machine or in the cloud. Ollama is for developers who want local models behind a CLI, a REST API, and Python or JavaScript libraries. Ollama can also launch coding tools like Claude Code, Codex, and OpenCode against its models.

Ollama at a glance

Category
Inference and training
Maintained by
Ollama (organization, @ollama on GitHub)
License
MIT
Language
Go, C, TypeScript
Repository
github.com/ollama/ollama
Website
ollama.com
npm package
ollama 0.6.4
PyPI package
ollama 0.6.3
Latest release
v0.40.11 on GitHub, Oct 24, 2026
First published
Jun 26, 2023

What Ollama does

  • Ollama runs and chats with open models from the command line, for example with ollama run gemma4.
  • Ollama exposes a REST API on localhost port 11434 for running and managing models.
  • Ollama connects models to coding tools including Claude Code, Codex, Copilot CLI, Droid, and OpenCode through the ollama launch command.
  • Ollama offers official client libraries for Python and JavaScript.
  • Ollama can generate speech on macOS and stream audio through an OpenAI-compatible /v1/audio/speech endpoint.
  • Ollama handles OpenAI-compatible Responses and Anthropic Messages requests, including streaming.
  • Ollama can turn a model into a personal assistant across WhatsApp, Telegram, Slack, and Discord using OpenClaw.

How to install and start using Ollama

macOS or Linux

curl -fsSL https://ollama.com/install.sh | sh

Windows (PowerShell)

irm https://ollama.com/install.ps1 | iex

Python library

pip install ollama

Requirements

  • macOS, Windows, or Linux, or Docker using the ollama/ollama image.
  • Python 3.8 or later for the Python client library.

First steps

  1. Run ollama to get prompted to run a model or connect Ollama to an agent or application.
  2. Chat with a model by running ollama run gemma4.
  3. Launch a coding integration with ollama launch claude.
  4. Send a request to http://localhost:11434/api/chat to use the REST API from your own code.

Who Ollama is for

  • Developers who want to run open models locally with their prompts kept private.
  • Developers pointing coding agents like Claude Code, Codex, or OpenCode at open models.
  • App builders who need a local REST API or Python and JavaScript clients for model calls.

Limitations to know

  • Ollama speech generation is available on macOS only, according to the v0.40.11 release notes.
  • Ollama's README lists llama.cpp as its supported backend.

Is Ollama growing? Usage data

In the week of Oct 25–31, 2026, Ollama ranked #258 on the Devtoolwatch Board and #29 in Inference and training, with a momentum score of 36 out of 100. Its main package had about 4M downloads that week, −2% against its own 4-week average.

New GitHub stars per week for Ollama12 weeks from Aug 9, 2026: 676, 702, 594, 566, 576, 592, 548, 454, 846, 1.1k, 1.1k, 984 new stars, an average of 730 a week.Aug 9week of Oct 25
New GitHub stars per week for the last 12 weeks, from GitHub's stargazer history (today's stargazers by the week they starred).
Show the weekly numbers
New GitHub stars per week for Ollama
Week ofNew stars
Aug 9, 2026676
Aug 16, 2026702
Aug 23, 2026594
Aug 30, 2026566
Sep 6, 2026576
Sep 13, 2026592
Sep 20, 2026548
Sep 27, 2026454
Oct 4, 2026846
Oct 11, 20261.1k
Oct 18, 20261.1k
Oct 25, 2026984

On Hacker News

The Board ranks tools by four signals each week: new stars, new stars for the repo's size, added downloads and download growth beyond the market. How the ranking works.

Ollama alternatives

Other LLM inference and training tools on the Board in the week of Oct 25–31, 2026, by momentum:

Inference and training ranked by momentum, the week of Oct 25–31, 2026
RankToolStarsDownloads/wk
#1dsh-our-free-modeldsh-our-free-model is a dsh plugin that provides DeepSeek V4.1 Flash, Kimi K3 and other models without login, sign-up or API key.54.3k–
#2magpiemagpie is a local gateway and app that lets coding agents like Claude Code, Codex and Gemini CLI use any provider's model.26.9k–
#3StrataStrata is a local inference engine and app that runs large open models like Qwen3.8-Flash-Next on consumer hardware with…37.1k–
#4edge0edge0 is an open-source streaming inference framework that runs large sparse mixture-of-experts models on consumer hardware by streaming…8.9k–
#5OmniRouteOmniRoute is an open-source AI gateway that routes requests across many model providers through one OpenAI-compatible endpoint, with…83.2k106k
#6CLIProxyAPICLIProxyAPI is a Go proxy server that exposes CLI coding accounts like Codex, Claude Code and Gemini CLI through OpenAI, Gemini and…57.1k–

All LLM inference and training tools, ranked

Recent Ollama releases

Ollama FAQ

Is Ollama free and open source?

Yes. Ollama's source code is on GitHub (ollama/ollama) under the MIT license, so you can use it for free. Its website also links to a pricing page (https://ollama.com/pricing) for any paid plans.

How do I install Ollama?

Run curl -fsSL https://ollama.com/install.sh | sh. The install section above has the other options from the project's README.

Is Ollama still maintained?

Yes. The ollama/ollama repository was last updated on Oct 25, 2026, and the latest release, v0.40.11 on GitHub, came out on Oct 24, 2026.

How popular is Ollama?

Ollama has 185.5k GitHub stars as of Nov 1, 2026. It gained 984 new stars in the week of Oct 25–31, 2026, against a 12-week average of 730 a week. Its main package had about 4M downloads that week, −2% against its own 4-week average. That made it #29 among LLM inference and training tools on the Devtoolwatch Board.

Ollama vs llama.cpp: how do they compare?

Ollama and llama.cpp are both tracked by Devtoolwatch as LLM inference and training tools. Ollama has 185.5k GitHub stars and llama.cpp has 133k. llama.cpp is a plain C/C++ library and set of tools for running LLM and VLM inference locally or in the cloud on many kinds of hardware. llama.cpp review.

Ollama vs vLLM: how do they compare?

Ollama and vLLM are both tracked by Devtoolwatch as LLM inference and training tools. Ollama has 185.5k GitHub stars and vLLM has 96k. In the week of Oct 25–31, 2026, Ollama's main package had 4M downloads and vLLM's had 677.2k. vLLM is an open-source Python library and engine for high-throughput, memory-efficient inference and serving of large language models. vLLM review.

What are the best alternatives to Ollama?

Other LLM inference and training tools on the Devtoolwatch Board in the week of Oct 25–31, 2026, by momentum: dsh-our-free-model (#1), magpie (#2), Strata (#3), edge0 (#4), OmniRoute (#5). The alternatives table above has their numbers.

How do I use Ollama with Claude Code?

Run ollama launch claude. Ollama starts Claude Code connected to Ollama models. Running ollama by itself also prompts you to connect existing agents such as Claude Code, Codex, OpenCode, and Copilot.

How do I use Ollama in Python?

Install the official client with pip install ollama. Then import chat from ollama and call chat with a model name and a messages list. The Python client requires Python 3.8 or later.

How do I use Ollama cloud models?

Ollama runs models locally or in the cloud, and requests to remote models route through ollama.com. When you use ollama launch, Ollama passes each cloud model's context length and capabilities to your coding tool.

Is Ollama an LLM?

No. Ollama is not a model itself. Ollama is a tool that runs open models such as Gemma, Qwen, DeepSeek, and gpt-oss, and serves them through a CLI and a REST API.

How do I use Ollama on Windows?

Install Ollama in PowerShell with irm https://ollama.com/install.ps1 | iex, or download OllamaSetup.exe. Then run ollama to start a model or connect an agent.

How do I use Ollama in VS Code?

Use a VS Code extension that connects to Ollama. The README lists Cline, Continue, twinny, and Microsoft's AI Toolkit for VS Code as community integrations.

Sources

  1. ollama/ollama on GitHub
  2. Ollama README
  3. ollama on npm
  4. ollama on PyPI
  5. Ollama website
  6. Release v0.40.11 (Oct 24, 2026)
  7. Release v0.40.10 (Oct 23, 2026)
  8. Release v0.40.9 (Oct 22, 2026)
  9. Hacker News: Ollama is now powered by MLX on Apple Silicon in preview
  10. Hacker News: Ollama now supports AMD graphics cards
  11. Hacker News: Ollama's new app
  12. Devtoolwatch Board, the week of Oct 25–31, 2026

Ollama README badge

Maintainers can show the tool's weekly Board rank in their README:

Devtoolwatch badge for Ollama

[![Devtoolwatch](https://index.devtoolwatch.com/badge/ollama.svg)](https://index.devtoolwatch.com/tools/ollama/)

How this page is made: Devtoolwatch writes each review from the project's README, releases, package metadata and website, with an AI model, then checks every claim against the source it cites and drops what the sources don't support. The numbers come from Devtoolwatch's daily GitHub snapshots, GitHub's stargazer history, and the npm and PyPI download APIs. Spotted an error? Email [email protected].