Home/Compare/FullStackBench vs instruct-eval

Comparison

FullStackBench vs instruct-eval

Verdict

Pick FullStackBench if fullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples; pick instruct-eval if key facts about instruct-eval.

Markdown twin · FullStackBench alternatives · instruct-eval alternatives

GraphCanon updated 2w

FullStackBench logo

FullStackBench

bytedance/FullStackBench

121pushed May 7, 2025
vs
instruct-eval logo

instruct-eval

declare-lab/instruct-eval

552pushed Mar 10, 2024

Trust & integrity

SignalFullStackBenchinstruct-eval
Maintenance
Dormant (455d since push)
As of 2w · github_public_v1
Dormant (879d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-07-11
As of 1mo · osv@v1
Published findings
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

FullStackBench
Multilingual benchmark for evaluating LLMs in full-stack coding
instruct-eval
Quantitative evaluation for instruction-tuned language models

Stars

FullStackBench
121
instruct-eval
552

Forks

FullStackBench
10
instruct-eval
45

Open issues

FullStackBench
1
instruct-eval
24

Language

FullStackBench
Python
instruct-eval
Python

Adopt for

FullStackBench
FullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples.
instruct-eval
Key facts about instruct-eval

Persona

FullStackBench
-
instruct-eval
-

Runtime

FullStackBench
-
instruct-eval
-

License

FullStackBench
Apache-2.0
instruct-eval
The tool is distributed under Apache-2.0 license

Last pushed

FullStackBench
May 7, 2025
instruct-eval
Mar 10, 2024

Categories

FullStackBench
Evaluation & Observability
instruct-eval
Evaluation & Observability

Trust and health

Days since push

FullStackBench
455d
instruct-eval
879d

Open issues (now)

FullStackBench
1
instruct-eval
24

OSV dependency advisories

FullStackBench
No published findings from this source as of 2026-07-11
instruct-eval
Published findings

Full report

FullStackBench
Trust report
instruct-eval
Trust report

Choose FullStackBench if…

  • Tags unique to FullStackBench: benchmarks, full stack coding, llm-evaluation.
  • When you need to assess LLM performance in full-stack programming tasks covering multiple domains and languages
  • More recently updated (last pushed May 7, 2025).

When NOT to use FullStackBench

  • Avoid if testing scope is limited to a single or few programming languages as FullStackBench covers a wide range of languages
  • Not suitable if your focus is solely on theoretical coding challenges instead of practical, full-stack tasks

Choose instruct-eval if…

  • Requirements: Min 8 GB RAM; Requires Python environment setup and specific dependencies as outlined in the repository's documentation..
  • Tags unique to instruct-eval: benchmarking, evaluation, instruct-tuning, llm.
  • When you need to quantitatively evaluate the performance of instruction-tuned large language models such as Alpaca and Flan-T5 on held-out tasks.

When NOT to use instruct-eval

  • When primarily interested in general model evaluation without a focus on instruction-tuned LMs.
  • If your primary interest lies in qualitative assessment rather than quantitative metrics.
  • If you need support for non-HuggingFace Transformer models, as instruct-eval mainly supports models from the HuggingFace ecosystem.

Explore

Sources

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

GitHub stars on cards: FullStackBench 121 · instruct-eval 552 (synced Aug 5, 2026).

Common questions

What is the difference between FullStackBench and instruct-eval?
FullStackBench: Multilingual benchmark for evaluating LLMs in full-stack coding. instruct-eval: Quantitative evaluation for instruction-tuned language models. See the comparison table for live GitHub stats and shared categories.
When should I choose FullStackBench over instruct-eval?
Choose FullStackBench over instruct-eval when Tags unique to FullStackBench: benchmarks, full stack coding, llm-evaluation; When you need to assess LLM performance in full-stack programming tasks covering multiple domains and languages; More recently updated (last pushed May 7, 2025).
When should I choose instruct-eval over FullStackBench?
Choose instruct-eval over FullStackBench when Requirements: Min 8 GB RAM; Requires Python environment setup and specific dependencies as outlined in the repository's documentation.; Tags unique to instruct-eval: benchmarking, evaluation, instruct-tuning, llm; When you need to quantitatively evaluate the performance of instruction-tuned large language models such as Alpaca and Flan-T5 on held-out tasks.
When should I avoid FullStackBench?
Avoid if testing scope is limited to a single or few programming languages as FullStackBench covers a wide range of languages Not suitable if your focus is solely on theoretical coding challenges instead of practical, full-stack tasks
When should I avoid instruct-eval?
When primarily interested in general model evaluation without a focus on instruction-tuned LMs. If your primary interest lies in qualitative assessment rather than quantitative metrics. If you need support for non-HuggingFace Transformer models, as instruct-eval mainly supports models from the HuggingFace ecosystem.
Is FullStackBench or instruct-eval more popular on GitHub?
instruct-eval has more GitHub stars (552 vs 121). Stars measure visibility, not whether either tool fits your constraints.
Are FullStackBench and instruct-eval open source?
Yes - both are open-source projects on GitHub (FullStackBench: Apache-2.0, instruct-eval: Apache-2.0).
Where can I find alternatives to FullStackBench or instruct-eval?
GraphCanon lists graph-backed alternatives at FullStackBench alternatives and instruct-eval alternatives (FullStackBench markdown twin, instruct-eval 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, FullStackBench or instruct-eval?
FullStackBench: Dormant. instruct-eval: 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 FullStackBench and instruct-eval?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FullStackBench trust report; instruct-eval trust report.

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