Home/Compare/promptsource vs anything-llm

Comparison

promptsource vs anything-llm

Verdict

Pick promptsource if promptSource aids in creating, sharing, and using natural language prompts for large language models; pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.

Markdown twin · promptsource alternatives · anything-llm alternatives

GraphCanon updated Sep 20, 2026

5views this month

promptsource logo

promptsource

bigscience-workshop/promptsource

★ 3.0kpushed Oct 23, 2023
vs
anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

★ 66kpushed Sep 17, 2026

Trust & integrity

Signalpromptsourceanything-llm
Maintenance
Dormant (1062d since push)
As of Sep 20, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

promptsource
Toolkit for creating, sharing and using natural language prompts
anything-llm
Self-hosted AI agent experience

Stars

promptsource
3.0k
anything-llm
66k

Forks

promptsource
375
anything-llm
7.3k

Open issues

promptsource
43
anything-llm
315

Language

promptsource
Python
anything-llm
JavaScript

Adopt for

promptsource
PromptSource aids in creating, sharing, and using natural language prompts for large language models.
anything-llm
anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.

Persona

promptsource
-
anything-llm
-

Runtime

promptsource
-
anything-llm
-

License

promptsource
Apache-2.0
anything-llm
MIT License, allowing for free use, modification, and distribution.

Last pushed

promptsource
Oct 23, 2023
anything-llm
Sep 17, 2026

Categories

promptsource
Developer Tools, Model Training
anything-llm
AI Agents, Developer Tools, Inference & Serving

Trust and health

Maintenance

promptsource
Dormant (18%)
anything-llm
Very active (96%)

Days since push

promptsource
1062d
anything-llm
0d

Open issues (now)

promptsource
43
anything-llm
315

Stars delta

promptsource
+5 (30d)
anything-llm
+1.5k (30d)

Open issues delta

promptsource
0 (30d)
anything-llm
-4 (30d)

Full report

promptsource
Trust report
anything-llm
Trust report

Choose promptsource if…

  • promptsource is primarily Python; anything-llm is JavaScript.
  • License: promptsource is Apache-2.0, anything-llm is MIT.
  • Tags unique to promptsource: few-shot, fine-tuning, language models, machine-learning.
  • Also covers Model Training.
  • When you need to create reusable prompts for multiple datasets with a focus on simplicity through a templating language called Jinja.

When NOT to use promptsource

  • Avoid if you require complex prompt customization beyond what simple templating can offer, as PromptSource is not designed for intricate configurations.
  • Not suitable for users focused on real-time interaction with prompts, since it lacks dynamic features for immediate adjustments.

Choose anything-llm if…

  • anything-llm is primarily JavaScript; promptsource is Python.
  • License: anything-llm is MIT, promptsource is Apache-2.0.
  • Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure..
  • Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment..
  • Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai.
  • Also covers AI Agents, Inference & Serving.
  • When you need a local-first AI agent experience that you can fully control and customize.

When NOT to use anything-llm

  • If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
  • When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.

Explore

Sources

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

GitHub stars on cards: promptsource 3.0k · anything-llm 66k (synced Sep 20, 2026).

Common questions

What is the difference between promptsource and anything-llm?
promptsource: Toolkit for creating, sharing and using natural language prompts. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories.
When should I choose promptsource over anything-llm?
Choose promptsource over anything-llm when promptsource is primarily Python; anything-llm is JavaScript; License: promptsource is Apache-2.0, anything-llm is MIT; Tags unique to promptsource: few-shot, fine-tuning, language models, machine-learning; Also covers Model Training; When you need to create reusable prompts for multiple datasets with a focus on simplicity through a templating language called Jinja.
When should I choose anything-llm over promptsource?
Choose anything-llm over promptsource when anything-llm is primarily JavaScript; promptsource is Python; License: anything-llm is MIT, promptsource is Apache-2.0; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
When should I avoid promptsource?
Avoid if you require complex prompt customization beyond what simple templating can offer, as PromptSource is not designed for intricate configurations. Not suitable for users focused on real-time interaction with prompts, since it lacks dynamic features for immediate adjustments.
When should I avoid anything-llm?
If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
Is promptsource or anything-llm more popular on GitHub?
anything-llm has more GitHub stars (66,167 vs 3,034). Stars measure visibility, not whether either tool fits your constraints.
Are promptsource and anything-llm open source?
Yes - both are open-source projects on GitHub (promptsource: Apache-2.0, anything-llm: MIT).
Where can I find alternatives to promptsource or anything-llm?
GraphCanon lists graph-backed alternatives at promptsource alternatives and anything-llm alternatives (promptsource markdown twin, anything-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, promptsource or anything-llm?
promptsource: Dormant. anything-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 promptsource and anything-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: promptsource trust report; anything-llm trust report.

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