Home/Compare/harbor vs prompts.chat

Comparison

harbor vs prompts.chat

Verdict

Pick harbor when harbor is primarily Python; prompts.chat is HTML; pick prompts.chat when prompts.chat is primarily HTML; harbor is Python.

Markdown twin · harbor alternatives · prompts.chat alternatives

GraphCanon updated today

harbor logo

harbor

av/harbor

3.1kpushed Jun 21, 2026
vs
prompts.chat logo

prompts.chat

f/prompts.chat

165kpushed Jul 11, 2026

Trust & integrity

Signalharborprompts.chat
Maintenance
Active (24d since push)
As of today · github_public_v1
Very active (0d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of 4d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 4d · 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

harbor
Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
prompts.chat
Share, discover, and collect prompts from the community

Stars

harbor
3.1k
prompts.chat
165k

Forks

harbor
212
prompts.chat
21k

Open issues

harbor
56
prompts.chat
60

Language

harbor
Python
prompts.chat
HTML

Adopt for

harbor
-
prompts.chat
Critical decision points for evaluating `prompts.chat`

Persona

harbor
-
prompts.chat
-

Runtime

harbor
-
prompts.chat
-

License

harbor
Apache-2.0
prompts.chat
Other

Last pushed

harbor
Jun 21, 2026
prompts.chat
Jul 11, 2026

Categories

harbor
Developer Tools, LLM Frameworks
prompts.chat
Developer Tools, LLM Frameworks

Trust and health

Maintenance

harbor
Active (82%)
prompts.chat
Very active (96%)

Days since push

harbor
24d
prompts.chat
0d

Open issues (now)

harbor
56
prompts.chat
60

Full report

prompts.chat
Trust report

Choose harbor if…

  • harbor is primarily Python; prompts.chat is HTML.
  • License: harbor is Apache-2.0, prompts.chat is Other.
  • Tags unique to harbor: automation, bash, cli, container.

When NOT to use harbor

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose prompts.chat if…

  • prompts.chat is primarily HTML; harbor is Python.
  • License: prompts.chat is Other, harbor is Apache-2.0.
  • Tags unique to prompts.chat: artificial-intelligence, awesome-list, chatgpt, claude.
  • Critical decision points for evaluating `prompts.chat`

When NOT to use prompts.chat

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

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

GitHub stars on cards: harbor 3.1k · prompts.chat 165k (synced Jul 15, 2026).

Common questions

What is the difference between harbor and prompts.chat?
harbor: Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.. prompts.chat: Share, discover, and collect prompts from the community. See the comparison table for live GitHub stats and shared categories.
When should I choose harbor over prompts.chat?
Choose harbor over prompts.chat when harbor is primarily Python; prompts.chat is HTML; License: harbor is Apache-2.0, prompts.chat is Other; Tags unique to harbor: automation, bash, cli, container.
When should I choose prompts.chat over harbor?
Choose prompts.chat over harbor when prompts.chat is primarily HTML; harbor is Python; License: prompts.chat is Other, harbor is Apache-2.0; Tags unique to prompts.chat: artificial-intelligence, awesome-list, chatgpt, claude; Critical decision points for evaluating prompts.chat.
When should I avoid harbor?
Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid prompts.chat?
Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is harbor or prompts.chat more popular on GitHub?
prompts.chat has more GitHub stars (165,372 vs 3,140). Stars measure visibility, not whether either tool fits your constraints.
Are harbor and prompts.chat open source?
Yes - both are open-source projects on GitHub (harbor: Apache-2.0, prompts.chat: Other).
Where can I find alternatives to harbor or prompts.chat?
GraphCanon lists graph-backed alternatives at harbor alternatives and prompts.chat alternatives (harbor markdown twin, prompts.chat 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, harbor or prompts.chat?
harbor: Active. prompts.chat: 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 harbor and prompts.chat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: harbor trust report; prompts.chat trust report.

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