Home/Compare/last_layer vs futureagi-sdk

Comparison

last_layer vs futureagi-sdk

Verdict

Pick last_layer if an ultra-fast Python tool for detecting prompt injections and jailbreak attempts in large language models suitable for projects requiring rapid security evaluations, with low-latency performance; pick futureagi-sdk if futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript.

Markdown twin · last_layer alternatives · futureagi-sdk alternatives

GraphCanon updated Sep 20, 2026

last_layer logo

last_layer

arekusandr/last_layer

133pushed Jul 26, 2024
vs
futureagi-sdk logo

futureagi-sdk

future-agi/futureagi-sdk

51pushed Jul 8, 2026

Trust & integrity

Signallast_layerfutureagi-sdk
Maintenance
Dormant (780d since push)
As of Sep 14, 2026 · github_public_v1
Steady (71d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 14, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 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

last_layer
Ultra-fast low latency LLM prompt injection jailbreak detection
futureagi-sdk
Production-grade AI evaluation, prompt management & observability SDK

Stars

last_layer
133
futureagi-sdk
51

Forks

last_layer
6
futureagi-sdk
8

Open issues

last_layer
13
futureagi-sdk
4

Language

last_layer
Python
futureagi-sdk
Python

Adopt for

last_layer
An ultra-fast Python tool for detecting prompt injections and jailbreak attempts in large language models suitable for projects requiring rapid security evaluations, with low-latency performance.
futureagi-sdk
futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript.

Persona

last_layer
-
futureagi-sdk
-

Runtime

last_layer
-
futureagi-sdk
-

License

last_layer
MIT
futureagi-sdk
Apache-2.0

Last pushed

last_layer
Jul 26, 2024
futureagi-sdk
Jul 8, 2026

Categories

last_layer
Evaluation & Observability
futureagi-sdk
Evaluation & Observability

Trust and health

Maintenance

last_layer
Dormant (18%)
futureagi-sdk
Steady (60%)

Days since push

last_layer
780d
futureagi-sdk
71d

Open issues (now)

last_layer
13
futureagi-sdk
4

Stars delta

last_layer
+2 (30d)
futureagi-sdk
+3 (30d)

Open issues delta

last_layer
0 (30d)
futureagi-sdk
+1 (30d)

Owner type

last_layer
User
futureagi-sdk
Organization

OSV dependency advisories

last_layer
Published findings
futureagi-sdk
No lockfile (source not queried)

Full report

last_layer
Trust report
futureagi-sdk
Trust report

Choose last_layer if…

  • License: last_layer is MIT, futureagi-sdk is Apache-2.0.
  • Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-guard.
  • When you need fast detection of potential security vulnerabilities due to unauthorized prompt manipulations in real-time scenarios involving LLMs

When NOT to use last_layer

  • If your application does not require ultra-low latency detection and can afford slower, potentially more comprehensive security evaluations
  • For environments that prefer a broader range of security features beyond prompt injection detection, as last_layer focuses specifically on this aspect with speed in mind

Choose futureagi-sdk if…

  • License: futureagi-sdk is Apache-2.0, last_layer is MIT.
  • Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis..
  • Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration..
  • Tags unique to futureagi-sdk: ai, ai-agents, annotations, dataset.
  • When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention.

When NOT to use futureagi-sdk

  • If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript.
  • When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop.

Explore

Sources

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

GitHub stars on cards: last_layer 133 · futureagi-sdk 51 (synced Sep 20, 2026).

Common questions

What is the difference between last_layer and futureagi-sdk?
last_layer: Ultra-fast low latency LLM prompt injection jailbreak detection. futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. See the comparison table for live GitHub stats and shared categories.
When should I choose last_layer over futureagi-sdk?
Choose last_layer over futureagi-sdk when License: last_layer is MIT, futureagi-sdk is Apache-2.0; Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-guard; When you need fast detection of potential security vulnerabilities due to unauthorized prompt manipulations in real-time scenarios involving LLMs.
When should I choose futureagi-sdk over last_layer?
Choose futureagi-sdk over last_layer when License: futureagi-sdk is Apache-2.0, last_layer is MIT; Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis.; Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration.; Tags unique to futureagi-sdk: ai, ai-agents, annotations, dataset; When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention.
When should I avoid last_layer?
If your application does not require ultra-low latency detection and can afford slower, potentially more comprehensive security evaluations For environments that prefer a broader range of security features beyond prompt injection detection, as last_layer focuses specifically on this aspect with speed in mind
When should I avoid futureagi-sdk?
If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript. When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop.
Is last_layer or futureagi-sdk more popular on GitHub?
last_layer has more GitHub stars (133 vs 51). Stars measure visibility, not whether either tool fits your constraints.
Are last_layer and futureagi-sdk open source?
Yes - both are open-source projects on GitHub (last_layer: MIT, futureagi-sdk: Apache-2.0).
Where can I find alternatives to last_layer or futureagi-sdk?
GraphCanon lists graph-backed alternatives at last_layer alternatives and futureagi-sdk alternatives (last_layer markdown twin, futureagi-sdk 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, last_layer or futureagi-sdk?
last_layer: Dormant. futureagi-sdk: 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 last_layer and futureagi-sdk?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: last_layer trust report; futureagi-sdk trust report.

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