Comparison
Promptify vs agentflow
Verdict
Pick Promptify if promptify is a Python library designed for task-based Natural Language Processing with Pydantic structured outputs and built-in evaluation features, leveraging LiteLLM as its universal LLM backend. It supports prompt版本控制; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Markdown twin · Promptify alternatives · agentflow alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | Promptify | agentflow |
|---|---|---|
| Maintenance | Slowing (133d since push) As of 2w · github_public_v1 | Dormant (1100d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 5d · 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
- Promptify
- Task-based NLP engine with Pydantic structured outputs
- agentflow
- Complex LLM Workflows from Simple JSON
Stars
- Promptify
- 4.6k
- agentflow
- 320
Forks
- Promptify
- 363
- agentflow
- 27
Open issues
- Promptify
- 60
- agentflow
- 13
Language
- Promptify
- Python
- agentflow
- Python
Adopt for
- Promptify
- Promptify is a Python library designed for task-based Natural Language Processing with Pydantic structured outputs and built-in evaluation features, leveraging LiteLLM as its universal LLM backend. It supports prompt版本控制
- agentflow
- Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Persona
- Promptify
- -
- agentflow
- -
Runtime
- Promptify
- -
- agentflow
- -
License
- Promptify
- Promptify is available under the Apache-2.0 license, granting users permissions to use, modify, distribute, and sell this software.
- agentflow
- MIT
Last pushed
- Promptify
- Mar 27, 2026
- agentflow
- Aug 11, 2023
Categories
- Promptify
- Evaluation & Observability, LLM Frameworks
- agentflow
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- Promptify
- Slowing (36%)
- agentflow
- Dormant (18%)
Days since push
- Promptify
- 133d
- agentflow
- 1100d
Open issues (now)
- Promptify
- 60
- agentflow
- 13
Stars delta
- Promptify
- +11 (30d)
- agentflow
- -1 (30d)
Owner type
- Promptify
- Organization
- agentflow
- User
Full report
- Promptify
- Trust report
- agentflow
- Trust report
Shared compatibility
- Python · Promptify: Python runtime · agentflow: Python runtime
Choose Promptify if…
- License: Promptify is Apache-2.0, agentflow is MIT.
- Requirements: Requires Python 3.9 or higher; Can be installed via pip or directly from GitHub.
- Tags unique to Promptify: chatgpt, chatgpt-api, gpt-3, gpt-4.
- Also covers Evaluation & Observability.
- When your application requires structured NLP outputs with clear schemas defined using Pydantic
When NOT to use Promptify
- When your project does not require structured outputs or if Pydantic schemas are not suitable for your use case
- If you do not need built-in evaluation metrics for prompt performance and prefer more customization in the evaluation process
- In situations where integration with only a few specific LLMs is required, as Promptify's advantage lies in its flexibility across various providers
Choose agentflow if…
- License: agentflow is MIT, Promptify is Apache-2.0.
- Tags unique to agentflow: json, large language models, python, workflow-management.
- Also covers AI Agents.
- When you need to rapidly prototype LLM workflows with minimal coding via JSON configs
When NOT to use agentflow
- Avoid if requiring advanced customization that goes beyond basic JSON configurations
- Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (promptslab/Promptify) · observed Aug 7, 2026
- GitHub forks (promptslab/Promptify) · observed Aug 7, 2026
- Last push (promptslab/Promptify) · observed Mar 27, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 9, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (simonmesmith/agentflow) · observed Aug 16, 2026
- GitHub forks (simonmesmith/agentflow) · observed Aug 16, 2026
- Last push (simonmesmith/agentflow) · observed Aug 11, 2023
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Promptify 4.6k · agentflow 320 (synced Aug 7, 2026).
Common questions
- What is the difference between Promptify and agentflow?
- Promptify: Task-based NLP engine with Pydantic structured outputs. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.
- When should I choose Promptify over agentflow?
- Choose Promptify over agentflow when License: Promptify is Apache-2.0, agentflow is MIT; Requirements: Requires Python 3.9 or higher; Can be installed via pip or directly from GitHub; Tags unique to Promptify: chatgpt, chatgpt-api, gpt-3, gpt-4; Also covers Evaluation & Observability; When your application requires structured NLP outputs with clear schemas defined using Pydantic.
- When should I choose agentflow over Promptify?
- Choose agentflow over Promptify when License: agentflow is MIT, Promptify is Apache-2.0; Tags unique to agentflow: json, large language models, python, workflow-management; Also covers AI Agents; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.
- When should I avoid Promptify?
- When your project does not require structured outputs or if Pydantic schemas are not suitable for your use case If you do not need built-in evaluation metrics for prompt performance and prefer more customization in the evaluation process In situations where integration with only a few specific LLMs is required, as Promptify's advantage lies in its flexibility across various providers
- When should I avoid agentflow?
- Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
- Is Promptify or agentflow more popular on GitHub?
- Promptify has more GitHub stars (4,630 vs 320). Stars measure visibility, not whether either tool fits your constraints.
- Are Promptify and agentflow open source?
- Yes - both are open-source projects on GitHub (Promptify: Apache-2.0, agentflow: MIT).
- Where can I find alternatives to Promptify or agentflow?
- GraphCanon lists graph-backed alternatives at Promptify alternatives and agentflow alternatives (Promptify markdown twin, agentflow 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, Promptify or agentflow?
- Promptify: Slowing. agentflow: Dormant. 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 Promptify and agentflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Promptify trust report; agentflow trust report.