Home/Compare/Curator vs DS-1000

Comparison

Curator vs DS-1000

Verdict

Pick Curator if scalable toolkit for data pre-processing tailored to LLMs, featuring deduplication and quality checks; pick DS-1000 if the DS-1000 benchmark evaluates the code generation capabilities of large language models for data science tasks across Python libraries like Matplotlib, Numpy, Pandas, etc.

Markdown twin · Curator alternatives · DS-1000 alternatives

GraphCanon updated 2w

Curator logo

Curator

NVIDIA-NeMo/Curator

1.7kpushed Jul 23, 2026
vs
DS-1000 logo

DS-1000

xlang-ai/DS-1000

276pushed Oct 30, 2024

Trust & integrity

SignalCuratorDS-1000
Maintenance
Very active (0d since push)
As of 3w · github_public_v1
Dormant (644d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 2w · 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

Curator
Scalable data pre-processing and curation toolkit for LLMs
DS-1000
Benchmark and code for evaluating large language models on data science tasks

Stars

Curator
1.7k
DS-1000
276

Forks

Curator
306
DS-1000
31

Open issues

Curator
272
DS-1000
2

Language

Curator
Python
DS-1000
Python

Adopt for

Curator
Scalable toolkit for data pre-processing tailored to LLMs, featuring deduplication and quality checks.
DS-1000
The DS-1000 benchmark evaluates the code generation capabilities of large language models for data science tasks across Python libraries like Matplotlib, Numpy, Pandas, etc.

Persona

Curator
-
DS-1000
-

Runtime

Curator
-
DS-1000
-

License

Curator
Apache-2.0
DS-1000
CC-BY-SA-4.0

Last pushed

Curator
Jul 23, 2026
DS-1000
Oct 30, 2024

Categories

Curator
Data & Retrieval, Model Training
DS-1000
Data & Retrieval, Model Training

Trust and health

Maintenance

Curator
Very active (96%)
DS-1000
Dormant (18%)

Days since push

Curator
0d
DS-1000
644d

Open issues (now)

Curator
272
DS-1000
2

Full report

Shared compatibility

  • Python · Curator: Python runtime · DS-1000: Python runtime

Choose Curator if…

  • License: Curator is Apache-2.0, DS-1000 is CC-BY-SA-4.0.
  • Tags unique to Curator: curation toolkit, data pre-processing, deduplication, llms.
  • You're working with NVIDIA NeMo models and require seamless integration.

When NOT to use Curator

  • Your dataset doesn't align with NVIDIA hardware specifications.
  • You prefer data curation tools that do not emphasize semantic processing.

Choose DS-1000 if…

  • License: DS-1000 is CC-BY-SA-4.0, Curator is Apache-2.0.
  • Tags unique to DS-1000: benchmark, code generation, data-science, large language models.
  • When you want to assess how well a large language model can generate reliable and accurate code for data science projects involving popular Python libraries.

When NOT to use DS-1000

  • Avoid using DS-1000 if your project does not involve data science or if the models do not generate code in Python.
  • It is unsuitable for evaluating text generation abilities unrelated to coding, such as natural language processing tasks.

Explore

Sources

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

GitHub stars on cards: Curator 1.7k · DS-1000 276 (synced Jul 24, 2026).

Common questions

What is the difference between Curator and DS-1000?
Curator: Scalable data pre-processing and curation toolkit for LLMs. DS-1000: Benchmark and code for evaluating large language models on data science tasks. See the comparison table for live GitHub stats and shared categories.
When should I choose Curator over DS-1000?
Choose Curator over DS-1000 when License: Curator is Apache-2.0, DS-1000 is CC-BY-SA-4.0; Tags unique to Curator: curation toolkit, data pre-processing, deduplication, llms; You're working with NVIDIA NeMo models and require seamless integration.
When should I choose DS-1000 over Curator?
Choose DS-1000 over Curator when License: DS-1000 is CC-BY-SA-4.0, Curator is Apache-2.0; Tags unique to DS-1000: benchmark, code generation, data-science, large language models; When you want to assess how well a large language model can generate reliable and accurate code for data science projects involving popular Python libraries.
When should I avoid Curator?
Your dataset doesn't align with NVIDIA hardware specifications. You prefer data curation tools that do not emphasize semantic processing.
When should I avoid DS-1000?
Avoid using DS-1000 if your project does not involve data science or if the models do not generate code in Python. It is unsuitable for evaluating text generation abilities unrelated to coding, such as natural language processing tasks.
Is Curator or DS-1000 more popular on GitHub?
Curator has more GitHub stars (1,681 vs 276). Stars measure visibility, not whether either tool fits your constraints.
Are Curator and DS-1000 open source?
Yes - both are open-source projects on GitHub (Curator: Apache-2.0, DS-1000: CC-BY-SA-4.0).
Where can I find alternatives to Curator or DS-1000?
GraphCanon lists graph-backed alternatives at Curator alternatives and DS-1000 alternatives (Curator markdown twin, DS-1000 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, Curator or DS-1000?
Curator: Very active. DS-1000: 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 Curator and DS-1000?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Curator trust report; DS-1000 trust report.

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