head to head · open source

Ollama vs next-plaid

Ollama has 181,184 GitHub stars, 17,921 forks, 3,957 open issues and last shipped 2 days ago. next-plaid has 546 stars, 60 forks, 29 open issues and last shipped 25 days ago. Ollama leads on adoption by 33,084% (181,184 vs 546 stars). Ollama is written in Go under MIT; next-plaid is written in Rust under Apache-2.0. Ollama has attracted 10% as many forks as stars, next-plaid 11%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Ollama ★ 181K next-plaid ★ 546 category AI & Machine Learning

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Side by side

Ollama next-plaid
GitHub stars ★ 181K ★ 546
License MIT Apache-2.0
Written in Go Rust
Last push 2026-09-17 2026-08-25
Forks ⑂ 18K ⑂ 60
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 181K stars and counting
  • You want the MIT license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Ollama profile →

pick next-plaid if

  • You want the next-plaid feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Rust
  • You evaluated both and next-plaid fits your workflow better

full next-plaid profile →

About Ollama

Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.

read the full Ollama overview →

About next-plaid

NextPlaid is a multi vector search engine written in Rust, and ColGREP is the semantic code search tool built on top of it for developers who work in the terminal and for the coding agents that run beside them.

read the full next-plaid overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

Related comparisons

openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

Ollama vs llama.cpp Ollama vs vllm Ollama vs GPT4All Ollama vs llama_index Ollama vs LocalAI Ollama vs faiss Ollama vs PageIndex Ollama vs Langfuse Ollama vs cognee Ollama vs taipy Ollama vs dagster Ollama vs zvec

Frequently asked questions

Is Ollama or next-plaid more popular?

Ollama has 181,184 GitHub stars and next-plaid has 546. Ollama has the larger community by that measure.

Are Ollama and next-plaid free?

Both are open source. Ollama is licensed under MIT and next-plaid under Apache-2.0. Neither carries a licence fee.

What is the difference between Ollama and next-plaid?

Ollama is written in Go and next-plaid in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Ollama or next-plaid?

Choose Ollama if you want the larger community (181,184 stars) or its MIT licence terms. Choose next-plaid if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.