Home/Compare/futureagi-sdk vs raga-llm-hub

Comparison

futureagi-sdk vs raga-llm-hub

Verdict

Pick futureagi-sdk if future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0; pick raga-llm-hub if raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models.

Markdown twin · futureagi-sdk alternatives · raga-llm-hub alternatives

GraphCanon updated 3w

futureagi-sdk logo

futureagi-sdk

future-agi/futureagi-sdk

48pushed Jul 8, 2026
vs
raga-llm-hub logo

raga-llm-hub

raga-ai-hub/raga-llm-hub

114pushed Sep 9, 2024

Trust & integrity

Signalfutureagi-sdkraga-llm-hub
Maintenance
Active (25d since push)
As of 3w · github_public_v1
Dormant (687d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3w · 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

futureagi-sdk
Production-grade AI evaluation, prompt management & observability SDK
raga-llm-hub
Framework for LLM evaluation, guardrails and security

Stars

futureagi-sdk
48
raga-llm-hub
114

Forks

futureagi-sdk
5
raga-llm-hub
14

Open issues

futureagi-sdk
3
raga-llm-hub
2

Language

futureagi-sdk
Python
raga-llm-hub
Python

Adopt for

futureagi-sdk
Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
raga-llm-hub
Raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models.

Persona

futureagi-sdk
-
raga-llm-hub
-

Runtime

futureagi-sdk
-
raga-llm-hub
-

License

futureagi-sdk
The Future AGI SDK uses the Apache License, Version 2.0 (Apache-2.0). It allows users to freely use, modify, and distribute the software while maintaining copyright notices.
raga-llm-hub
The license for Raga LLM-Hub differs from common Open Source licenses like MIT or Apache, implying specific conditions that might affect its usability in open projects.

Last pushed

futureagi-sdk
Jul 8, 2026
raga-llm-hub
Sep 9, 2024

Categories

futureagi-sdk
Evaluation & Observability
raga-llm-hub
Evaluation & Observability

Trust and health

Maintenance

futureagi-sdk
Active (82%)
raga-llm-hub
Dormant (18%)

Days since push

futureagi-sdk
25d
raga-llm-hub
687d

Open issues (now)

futureagi-sdk
3
raga-llm-hub
2

Full report

futureagi-sdk
Trust report
raga-llm-hub
Trust report

Choose futureagi-sdk if…

  • License: futureagi-sdk is Apache-2.0, raga-llm-hub is Other.
  • Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails.
  • Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development.
  • Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.

When NOT to use futureagi-sdk

  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

Choose raga-llm-hub if…

  • License: raga-llm-hub is Other, futureagi-sdk is Apache-2.0.
  • Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use..
  • Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements..
  • Tags unique to raga-llm-hub: guardrails, llm security, llm-evaluation, llmops.
  • When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment.

When NOT to use raga-llm-hub

  • If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python.
  • Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects.

Explore

Sources

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

GitHub stars on cards: futureagi-sdk 48 · raga-llm-hub 114 (synced Aug 2, 2026).

Common questions

What is the difference between futureagi-sdk and raga-llm-hub?
futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. raga-llm-hub: Framework for LLM evaluation, guardrails and security. See the comparison table for live GitHub stats and shared categories.
When should I choose futureagi-sdk over raga-llm-hub?
Choose futureagi-sdk over raga-llm-hub when License: futureagi-sdk is Apache-2.0, raga-llm-hub is Other; Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails; Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development; Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
When should I choose raga-llm-hub over futureagi-sdk?
Choose raga-llm-hub over futureagi-sdk when License: raga-llm-hub is Other, futureagi-sdk is Apache-2.0; Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use.; Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements.; Tags unique to raga-llm-hub: guardrails, llm security, llm-evaluation, llmops; When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment.
When should I avoid futureagi-sdk?
Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
When should I avoid raga-llm-hub?
If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python. Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects.
Is futureagi-sdk or raga-llm-hub more popular on GitHub?
raga-llm-hub has more GitHub stars (114 vs 48). Stars measure visibility, not whether either tool fits your constraints.
Are futureagi-sdk and raga-llm-hub open source?
Yes - both are open-source projects on GitHub (futureagi-sdk: Apache-2.0, raga-llm-hub: Other).
Where can I find alternatives to futureagi-sdk or raga-llm-hub?
GraphCanon lists graph-backed alternatives at futureagi-sdk alternatives and raga-llm-hub alternatives (futureagi-sdk markdown twin, raga-llm-hub 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, futureagi-sdk or raga-llm-hub?
futureagi-sdk: Active. raga-llm-hub: 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 futureagi-sdk and raga-llm-hub?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: futureagi-sdk trust report; raga-llm-hub trust report.

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