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Frisky

getfrisky.dev·Infrastructure

Frisky is a lightweight, high-speed alternative to Dask written in Rust. It offers a compatible interface for existing Dask workloads while delivering significantly faster execution, especially for disk, network, and graph-construction heavy tasks. While the author describes it partly as an art project and fun experiment, it is positioned as a practical tool for users who need maximum performance from parallel computing without the overhead of heavier frameworks.

Open SourceCLISelf-hosted
FFrisky preview
Visit getfrisky.dev↗
5stars
5features
2026since

Overview

5 features

Frisky is a Developer Tools project. Slow performance when running large-scale parallel computing workloads with existing Python schedulers like Dask. Frisky is an open-source project aimed at data engineers and scientists. The project is open source (Open Source). It runs on the command line, and it can be self-hosted.

Frisky first shipped in 2026. The project is developed in the open on GitHub with 1 commit in the last 90 days. Key capabilities include dask compatibility, high speed execution, and fast graph construction.

Summary written by a language model from the project’s public pages.

  • ✓Dask compatibility
  • ✓High speed execution
  • ✓Fast graph construction
  • ✓Lightweight runtime
  • ✓Rust implementation
Tags
dask-schedulerrust-parallel-computinghigh-performance-schedulerdistributed-computingdata-workflow

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
Open Source
Verified signals
✓HTTPS✓Open Source✓Free tier✓GitHub · ★ 5✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed27 Jul · 17:57 UTC
    Why Frisky verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Frisky

What does Frisky do?
Slow performance when running large-scale parallel computing workloads with existing Python schedulers like Dask. It is catalogued under Developer Tools on PulseGate.
Who should use Frisky?
Frisky is an open-source project built for data engineers and scientists.
Is Frisky free?
Yes — Frisky is open source under the Open Source license and free to use.
What platforms does Frisky run on?
Frisky runs on the command line. It can also be self-hosted.
Is Frisky still active?
The GitHub repository shows 1 commit in the last 90 days.
What are alternatives to Frisky?
Similar projects tracked by PulseGate include EfficiencyNext Data Connector, System Information Widgets, and CKB.EfficiencyNext Data ConnectorSystem Information WidgetsCKB
When did Frisky launch?
Frisky first shipped in 2026.
Is Frisky open source?
Yes — Frisky is open source under the Open Source license, developed on GitHub.

At a glance

Pricing
Open Source
Platforms
Cli
Languages
English
Open source
Yes · ★ 5
License
Open Source
First seen
27 Jul 2026
Built for
data engineers and scientists
Model
Open source
Solves
Slow performance when running large-scale parallel computing workloads with existing Python schedulers like Dask.

Registered as

GitHub
mrocklin/frisky-issues

Developer

Mrocklin
Solo developer
↗ GitHub

Open source

View on GitHub →
Stars
5
Forks
0
Open issues
2
Last commit
18 Jun 2026
Commits 90d
1
Contributors
1
Authorship
Solo
Default branch
main

Live coverage

Identity confidence
High · 86
Indexed
27 Jul 2026
Lifecycle
Alive
First seen
Jul 2026
Last seen
27 Jul 2026
Identity audit (13)
Slug
why-frisky-getfrisky-dev
Lifecycle state recorded
27 Jul 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
27 Jul 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Name from
Derived from the project's own page and URL.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model, checked against the page's own declaration.
Last updated
27 Jul 2026
Canonical URL
https://getfrisky.dev/why

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  • CKCKBcodeknowledge.dev
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  • DOdocrepair-toolspypi.org