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Comparison

agno vs Matcha-TTS

Verdict

Pick agno when agno is primarily Python; Matcha-TTS is Jupyter Notebook; pick Matcha-TTS when matcha-TTS is primarily Jupyter Notebook; agno is Python.

Markdown twin · agno alternatives · Matcha-TTS alternatives

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agno logo

agno

agno-agi/agno

★ 41kpushed Jul 11, 2026
vs
Matcha-TTS logo

Matcha-TTS

shivammehta25/Matcha-TTS

★ 1.3kpushed Jun 15, 2026

Trust & integrity

SignalagnoMatcha-TTS
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Active (25d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
103 low (103 low)
As of 1d · osv@v1
agno trust reportMatcha-TTS trust reportTrust methodology

Tagline

agno
Build, run, and manage your own agent platform.
Matcha-TTS
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

Stars

agno
41k
Matcha-TTS
1.3k

Forks

agno
5.6k
Matcha-TTS
207

Open issues

agno
1.0k
Matcha-TTS
35

Language

agno
Python
Matcha-TTS
Jupyter Notebook

Adopt for

agno
Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.
Matcha-TTS
-

Persona

agno
-
Matcha-TTS
-

Runtime

agno
-
Matcha-TTS
-

License

agno
Apache-2.0
Matcha-TTS
MIT

Last pushed

agno
Jul 11, 2026
Matcha-TTS
Jun 15, 2026

Categories

agno
AI Agents, Developer Tools
Matcha-TTS
Computer Vision, Developer Tools, Speech & Audio

Trust and health

Maintenance

agno
Very active (96%)
Matcha-TTS
Active (82%)

Days since push

agno
0d
Matcha-TTS
25d

Open issues (now)

agno
1.0k
Matcha-TTS
35

Owner type

agno
Organization
Matcha-TTS
User

Security scan

agno
No lockfile
Matcha-TTS
103 low (103 low)

Full report

agno
Trust report
Matcha-TTS
Trust report

Choose agno if…

  • agno is primarily Python; Matcha-TTS is Jupyter Notebook.
  • License: agno is Apache-2.0, Matcha-TTS is MIT.
  • Tags unique to agno: agents, ai-agents, developer-tools, python.
  • Also covers AI Agents.
  • Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.

When NOT to use agno

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
GitHubDetails

Choose Matcha-TTS if…

  • Matcha-TTS is primarily Jupyter Notebook; agno is Python.
  • License: Matcha-TTS is MIT, agno is Apache-2.0.
  • Tags unique to Matcha-TTS: deep-learning, diffusion-model, diffusion-models, flow-matching.
  • Also covers Computer Vision, Speech & Audio.

When NOT to use Matcha-TTS

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
GitHubDetails

Explore

agno trust report →Matcha-TTS trust report →AI Agents category →Developer Tools category →Computer Vision category →Speech & Audio category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: agno 41k · Matcha-TTS 1.3k (synced Jul 11, 2026).

Common questions

What is the difference between agno and Matcha-TTS?
agno: Build, run, and manage your own agent platform.. Matcha-TTS: [ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching. See the comparison table for live GitHub stats and shared categories.
When should I choose agno over Matcha-TTS?
Choose agno over Matcha-TTS when agno is primarily Python; Matcha-TTS is Jupyter Notebook; License: agno is Apache-2.0, Matcha-TTS is MIT; Tags unique to agno: agents, ai-agents, developer-tools, python; Also covers AI Agents; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.
When should I choose Matcha-TTS over agno?
Choose Matcha-TTS over agno when Matcha-TTS is primarily Jupyter Notebook; agno is Python; License: Matcha-TTS is MIT, agno is Apache-2.0; Tags unique to Matcha-TTS: deep-learning, diffusion-model, diffusion-models, flow-matching; Also covers Computer Vision, Speech & Audio.
When should I avoid agno?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
When should I avoid Matcha-TTS?
Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Is agno or Matcha-TTS more popular on GitHub?
agno has more GitHub stars (41,090 vs 1,326). Stars measure visibility, not whether either tool fits your constraints.
Are agno and Matcha-TTS open source?
Yes - both are open-source projects on GitHub (agno: Apache-2.0, Matcha-TTS: MIT).
Where can I find alternatives to agno or Matcha-TTS?
GraphCanon lists graph-backed alternatives at agno alternatives and Matcha-TTS alternatives (agno markdown twin, Matcha-TTS 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, agno or Matcha-TTS?
agno: Very active. Matcha-TTS: 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 agno and Matcha-TTS?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agno trust report; Matcha-TTS trust report.