Home/Compare/shell-pilot vs llm

Comparison

shell-pilot vs llm

Verdict

Pick shell-pilot when shell-pilot is primarily Shell; llm is Python; pick llm when llm is primarily Python; shell-pilot is Shell.

Markdown twin · shell-pilot alternatives · llm alternatives

GraphCanon updated today

shell-pilot logo

shell-pilot

reid41/shell-pilot

116pushed Jan 28, 2025
vs
llm logo

llm

simonw/llm

12kpushed Jul 9, 2026

Trust & integrity

Signalshell-pilotllm
Maintenance
Dormant (529d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

shell-pilot
A lightweight shell script for interacting with various AI models from the terminal
llm
Access large language models from the command-line

Stars

shell-pilot
116
llm
12k

Forks

shell-pilot
15
llm
920

Open issues

shell-pilot
2
llm
645

Language

shell-pilot
Shell
llm
Python

Adopt for

shell-pilot
-
llm
Decision-critical facts for 'llm'

Persona

shell-pilot
-
llm
-

Runtime

shell-pilot
-
llm
-

License

shell-pilot
MIT
llm
Apache-2.0

Last pushed

shell-pilot
Jan 28, 2025
llm
Jul 9, 2026

Categories

shell-pilot
LLM Frameworks, Inference & Serving
llm
LLM Frameworks, Inference & Serving

Trust and health

Maintenance

shell-pilot
Dormant (18%)
llm
Very active (96%)

Days since push

shell-pilot
529d
llm
1d

Open issues (now)

shell-pilot
2
llm
645

Full report

shell-pilot
Trust report

Shared compatibility

  • OpenAI API · shell-pilot: OpenAI API · llm: OpenAI API

Choose shell-pilot if…

  • shell-pilot is primarily Shell; llm is Python.
  • License: shell-pilot is MIT, llm is Apache-2.0.
  • Tags unique to shell-pilot: interact-with-system, linux, mistralai, mistral.

When NOT to use shell-pilot

  • Last GitHub push was 530 days ago (dormant maintenance, Jan 28, 2025). Validate activity before betting a new project on shell-pilot.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose llm if…

  • llm is primarily Python; shell-pilot is Shell.
  • License: llm is Apache-2.0, shell-pilot is MIT.
  • Requirements: - Installation supports multiple methods including `pip`, Homebrew (with caveats noted), `pipx`, and `uv`.; - Requires an OpenAI API key for certain functionalities..
  • Tags unique to llm: llms, ai, openai.
  • - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods.

When NOT to use llm

  • - If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based.
  • - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: shell-pilot 116 · llm 12k (synced Jul 11, 2026).

Common questions

What is the difference between shell-pilot and llm?
shell-pilot: A lightweight shell script for interacting with various AI models from the terminal. llm: Access large language models from the command-line. See the comparison table for live GitHub stats and shared categories.
When should I choose shell-pilot over llm?
Choose shell-pilot over llm when shell-pilot is primarily Shell; llm is Python; License: shell-pilot is MIT, llm is Apache-2.0; Tags unique to shell-pilot: interact-with-system, linux, mistralai, mistral.
When should I choose llm over shell-pilot?
Choose llm over shell-pilot when llm is primarily Python; shell-pilot is Shell; License: llm is Apache-2.0, shell-pilot is MIT; Requirements: - Installation supports multiple methods including pip, Homebrew (with caveats noted), pipx, and uv.; - Requires an OpenAI API key for certain functionalities.; Tags unique to llm: llms, ai, openai; - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods.
When should I avoid shell-pilot?
Last GitHub push was 530 days ago (dormant maintenance, Jan 28, 2025). Validate activity before betting a new project on shell-pilot. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid llm?
- If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based. - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models.
Is shell-pilot or llm more popular on GitHub?
llm has more GitHub stars (12,172 vs 116). Stars measure visibility, not whether either tool fits your constraints.
Are shell-pilot and llm open source?
Yes - both are open-source projects on GitHub (shell-pilot: MIT, llm: Apache-2.0).
Where can I find alternatives to shell-pilot or llm?
GraphCanon lists graph-backed alternatives at shell-pilot alternatives and llm alternatives (shell-pilot markdown twin, llm markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, shell-pilot or llm?
shell-pilot: Dormant. llm: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for shell-pilot and llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: shell-pilot trust report; llm trust report.