Comparison
adk-python vs AdalFlow
Verdict
Pick adk-python if adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems; pick AdalFlow if adalFlow is designed to streamline the development and automatic optimization of LLM applications.
Markdown twin · adk-python alternatives · AdalFlow alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | adk-python | AdalFlow |
|---|---|---|
| Maintenance | Very active (0d since push) As of 6d · github_public_v1 | Steady (70d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- adk-python
- A Python toolkit for building, evaluating, and deploying AI agents
- AdalFlow
- The library to build & auto-optimize LLM applications.
Stars
- adk-python
- 21k
- AdalFlow
- 4.2k
Forks
- adk-python
- 3.9k
- AdalFlow
- 384
Open issues
- adk-python
- 566
- AdalFlow
- 68
Language
- adk-python
- Python
- AdalFlow
- Python
Adopt for
- adk-python
- adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems.
- AdalFlow
- AdalFlow is designed to streamline the development and automatic optimization of LLM applications.
Persona
- adk-python
- -
- AdalFlow
- -
Runtime
- adk-python
- -
- AdalFlow
- -
License
- adk-python
- adk-python is available under the Apache-2.0 license, allowing both commercial and non-commercial use with appropriate attribution.
- AdalFlow
- MIT
Last pushed
- adk-python
- Aug 18, 2026
- AdalFlow
- May 29, 2026
Categories
- adk-python
- AI Agents
- AdalFlow
- AI Agents, Data & Retrieval, LLM Frameworks, Model Training
Trust and health
Maintenance
- adk-python
- Very active (96%)
- AdalFlow
- Steady (60%)
Days since push
- adk-python
- 0d
- AdalFlow
- 70d
Open issues (now)
- adk-python
- 566
- AdalFlow
- 68
Stars delta
- adk-python
- +522 (30d)
- AdalFlow
- Unknown
Open issues delta
- adk-python
- -76 (30d)
- AdalFlow
- Unknown
Full report
- adk-python
- Trust report
- AdalFlow
- Trust report
Choose adk-python if…
- License: adk-python is Apache-2.0, AdalFlow is MIT.
- Requirements: Requires Python 3.10+ for installation..
- Tags unique to adk-python: agentic, ai-agents, multi-agent-systems.
- You are working on multi-agent systems where multiple AI agents need to collaborate or interact effectively. adk-python offers specific support for defining and orchestrating multi-agent workflows.
When NOT to use adk-python
- If your project does not involve multi-agent interactions or complex orchestration of multiple agents, other frameworks might offer more streamlined solutions.
- You prefer using out-of-the-box solutions with less coding complexity. adk-python's code-first approach is best suited for developers looking to deeply customize agent behavior and interactions.
Choose AdalFlow if…
- License: AdalFlow is MIT, adk-python is Apache-2.0.
- Tags unique to AdalFlow: ai, auto-prompting, bm25, chatbot.
- Also covers Data & Retrieval, LLM Frameworks, Model Training.
- When you are working on projects that require advanced AI agents or chatbots with auto-prompting features, as AdalFlow can handle these needs comprehensively.
When NOT to use AdalFlow
- Avoid using AdalFlow if your project does not benefit from auto-optimization features or does not involve LLM applications, as its specialized capabilities might introduce unnecessary complexity.
- AdalFlow may not be the best choice for projects where custom or low-level control over all aspects of the AI model training and optimization is required, given it's designed to streamline processes.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (google/adk-python) · observed Aug 19, 2026
- GitHub forks (google/adk-python) · observed Aug 19, 2026
- Last push (google/adk-python) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SylphAI-Inc/AdalFlow) · observed Aug 7, 2026
- GitHub forks (SylphAI-Inc/AdalFlow) · observed Aug 7, 2026
- Last push (SylphAI-Inc/AdalFlow) · observed May 29, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: adk-python 21k · AdalFlow 4.2k (synced Aug 19, 2026).
Common questions
- What is the difference between adk-python and AdalFlow?
- adk-python: A Python toolkit for building, evaluating, and deploying AI agents. AdalFlow: The library to build & auto-optimize LLM applications.. See the comparison table for live GitHub stats and shared categories.
- When should I choose adk-python over AdalFlow?
- Choose adk-python over AdalFlow when License: adk-python is Apache-2.0, AdalFlow is MIT; Requirements: Requires Python 3.10+ for installation.; Tags unique to adk-python: agentic, ai-agents, multi-agent-systems; You are working on multi-agent systems where multiple AI agents need to collaborate or interact effectively. adk-python offers specific support for defining and orchestrating multi-agent workflows.
- When should I choose AdalFlow over adk-python?
- Choose AdalFlow over adk-python when License: AdalFlow is MIT, adk-python is Apache-2.0; Tags unique to AdalFlow: ai, auto-prompting, bm25, chatbot; Also covers Data & Retrieval, LLM Frameworks, Model Training; When you are working on projects that require advanced AI agents or chatbots with auto-prompting features, as AdalFlow can handle these needs comprehensively.
- When should I avoid adk-python?
- If your project does not involve multi-agent interactions or complex orchestration of multiple agents, other frameworks might offer more streamlined solutions. You prefer using out-of-the-box solutions with less coding complexity. adk-python's code-first approach is best suited for developers looking to deeply customize agent behavior and interactions.
- When should I avoid AdalFlow?
- Avoid using AdalFlow if your project does not benefit from auto-optimization features or does not involve LLM applications, as its specialized capabilities might introduce unnecessary complexity. AdalFlow may not be the best choice for projects where custom or low-level control over all aspects of the AI model training and optimization is required, given it's designed to streamline processes.
- Is adk-python or AdalFlow more popular on GitHub?
- adk-python has more GitHub stars (21,180 vs 4,196). Stars measure visibility, not whether either tool fits your constraints.
- Are adk-python and AdalFlow open source?
- Yes - both are open-source projects on GitHub (adk-python: Apache-2.0, AdalFlow: MIT).
- Where can I find alternatives to adk-python or AdalFlow?
- GraphCanon lists graph-backed alternatives at adk-python alternatives and AdalFlow alternatives (adk-python markdown twin, AdalFlow 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, adk-python or AdalFlow?
- adk-python: Very active. AdalFlow: Steady. 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 adk-python and AdalFlow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: adk-python trust report; AdalFlow trust report.