Comparison
astron-rpa vs agents-from-scratch
Verdict
Pick astron-rpa if astron-rpa integrates AI agents for robust automation in various environments using Java, with a focus on data privacy and security compliance; pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies.
Markdown twin · astron-rpa alternatives · agents-from-scratch alternatives
GraphCanon updated Sep 20, 2026
16views this month
vs
Trust & integrity
| Signal | astron-rpa | agents-from-scratch |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 20, 2026 · github_public_v1 | Steady (56d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- astron-rpa
- Agent-ready RPA suite with automation tools for various environments
- agents-from-scratch
- Build AI agents locally without relying on frameworks or cloud APIs.
Stars
- astron-rpa
- 5.5k
- agents-from-scratch
- 1.0k
Forks
- astron-rpa
- 598
- agents-from-scratch
- 251
Open issues
- astron-rpa
- 58
- agents-from-scratch
- 4
Language
- astron-rpa
- Python
- agents-from-scratch
- Python
Adopt for
- astron-rpa
- astron-rpa integrates AI agents for robust automation in various environments using Java, with a focus on data privacy and security compliance.
- agents-from-scratch
- agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies.
Persona
- astron-rpa
- -
- agents-from-scratch
- -
Runtime
- astron-rpa
- -
- agents-from-scratch
- -
License
- astron-rpa
- Apache-2.0
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
Last pushed
- astron-rpa
- Sep 16, 2026
- agents-from-scratch
- Jul 25, 2026
Categories
- astron-rpa
- AI Agents, Developer Tools
- agents-from-scratch
- AI Agents, Developer Tools
Trust and health
Maintenance
- astron-rpa
- Very active (96%)
- agents-from-scratch
- Steady (60%)
Days since push
- astron-rpa
- 4d
- agents-from-scratch
- 56d
Open issues (now)
- astron-rpa
- 58
- agents-from-scratch
- 4
Stars delta
- astron-rpa
- -268 (30d)
- agents-from-scratch
- +63 (30d)
Open issues delta
- astron-rpa
- +15 (30d)
- agents-from-scratch
- +1 (30d)
Owner type
- astron-rpa
- Organization
- agents-from-scratch
- User
Full report
- astron-rpa
- Trust report
- agents-from-scratch
- Trust report
Shared compatibility
- Python · astron-rpa: Python runtime · agents-from-scratch: Python runtime
Choose astron-rpa if…
- License: astron-rpa is Apache-2.0, agents-from-scratch is MIT.
- Tags unique to astron-rpa: agent, ai, astron, automation.
- For enterprises that prioritize security compliance and need self-hosted solutions to maintain control over their data.
When NOT to use astron-rpa
- If your team or organization is not comfortable working within the restrictions of Java, preferring multi-platform support or another programming language.
- For projects where immediate access to third-party APIs is crucial and self-hosted solutions may add unnecessary layers of complexity in integration.
- When strict operational requirements demand real-time task visibility that astron-rpa's architecture does not natively support without significant customization.
Choose agents-from-scratch if…
- License: agents-from-scratch is MIT, astron-rpa is Apache-2.0.
- Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs..
- Tags unique to agents-from-scratch: agent-architecture, ai-agents, local-llm, no-framework.
- You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.
When NOT to use agents-from-scratch
- You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks.
- If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (iflytek/astron-rpa) · observed Sep 20, 2026
- GitHub forks (iflytek/astron-rpa) · observed Sep 20, 2026
- Last push (iflytek/astron-rpa) · observed Sep 16, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (pguso/agents-from-scratch) · observed Sep 20, 2026
- GitHub forks (pguso/agents-from-scratch) · observed Sep 20, 2026
- Last push (pguso/agents-from-scratch) · observed Jul 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: astron-rpa 5.5k · agents-from-scratch 1.0k (synced Sep 20, 2026).
Common questions
- What is the difference between astron-rpa and agents-from-scratch?
- astron-rpa: Agent-ready RPA suite with automation tools for various environments. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories.
- When should I choose astron-rpa over agents-from-scratch?
- Choose astron-rpa over agents-from-scratch when License: astron-rpa is Apache-2.0, agents-from-scratch is MIT; Tags unique to astron-rpa: agent, ai, astron, automation; For enterprises that prioritize security compliance and need self-hosted solutions to maintain control over their data.
- When should I choose agents-from-scratch over astron-rpa?
- Choose agents-from-scratch over astron-rpa when License: agents-from-scratch is MIT, astron-rpa is Apache-2.0; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, local-llm, no-framework; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.
- When should I avoid astron-rpa?
- If your team or organization is not comfortable working within the restrictions of Java, preferring multi-platform support or another programming language. For projects where immediate access to third-party APIs is crucial and self-hosted solutions may add unnecessary layers of complexity in integration. When strict operational requirements demand real-time task visibility that astron-rpa's architecture does not natively support without significant customization.
- When should I avoid agents-from-scratch?
- You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.
- Is astron-rpa or agents-from-scratch more popular on GitHub?
- astron-rpa has more GitHub stars (5,542 vs 1,017). Stars measure visibility, not whether either tool fits your constraints.
- Are astron-rpa and agents-from-scratch open source?
- Yes - both are open-source projects on GitHub (astron-rpa: Apache-2.0, agents-from-scratch: MIT).
- Where can I find alternatives to astron-rpa or agents-from-scratch?
- GraphCanon lists graph-backed alternatives at astron-rpa alternatives and agents-from-scratch alternatives (astron-rpa markdown twin, agents-from-scratch 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, astron-rpa or agents-from-scratch?
- astron-rpa: Very active. agents-from-scratch: 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 astron-rpa and agents-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: astron-rpa trust report; agents-from-scratch trust report.