Who should use sparkguardian?

sparkguardian is an open-source project built for data engineers.

Does sparkguardian have a free plan?

Yes — sparkguardian is open source under the MIT license and free to use.

What platforms does sparkguardian run on?

sparkguardian runs on the command line.

Is sparkguardian still maintained?

Activity appears to have slowed — PulseGate's most recent liveness signals classify this listing as stale.

What are alternatives to sparkguardian?

Similar projects tracked by PulseGate include causalityos, commit-delta, and Patchwing – Essential Debug Tools.

Who develops sparkguardian?

sparkguardian is developed by sparkguardian.

How long has sparkguardian been around?

sparkguardian first shipped in 2026.

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sparkguardian

Name: sparkguardian
Author: sparkguardian

github.comInfrastructure

sparkguardian is an open-source framework for auditing, optimizing, and governing PySpark codebases. It provides static and dynamic analysis, leveraging local AI assistance to detect anti-patterns and improve performance for data engineers.

Open SourceMITCLI

Visit github.com

Overview

5 features

sparkguardian sits in PulseGate's Debugging & profiling category. Auditing, optimizing, and governing PySpark codebases with automated static and dynamic analysis, including local AI assistance. It is built as an open-source project for data engineers. The project is open source (MIT). sparkguardian is available on the command line.

sparkguardian builds and maintains sparkguardian, and it first shipped in 2026. Among its 5 catalogued features are pySpark auditing, static analysis, and dynamic analysis.

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

PySpark auditing
Static analysis
Dynamic analysis
AI-assisted optimization
Governance framework

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub

Indexing history

What PulseGate has recorded for this listing

Indexed27 Jun · 16:04 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about sparkguardian

What does sparkguardian do?: Auditing, optimizing, and governing PySpark codebases with automated static and dynamic analysis, including local AI assistance. It is catalogued under Debugging & profiling on PulseGate.
Who should use sparkguardian?: sparkguardian is an open-source project built for data engineers.
Does sparkguardian have a free plan?: Yes — sparkguardian is open source under the MIT license and free to use.
What platforms does sparkguardian run on?: sparkguardian runs on the command line.
Is sparkguardian still maintained?: Activity appears to have slowed — PulseGate's most recent liveness signals classify this listing as stale.
What are alternatives to sparkguardian?: Similar projects tracked by PulseGate include causalityos, commit-delta, and Patchwing – Essential Debug Tools.causalityos commit-delta Patchwing – Essential Debug Tools
Who develops sparkguardian?: sparkguardian is developed by sparkguardian.
How long has sparkguardian been around?: sparkguardian first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
Activity: 🟡 Stale
Built for: Data engineers
Model: Open source
Solves: Auditing, optimizing, and governing PySpark codebases with automated static and dynamic analysis, including local AI assistance.

Registered as

GitHub: sparkguardian/sparkguardian
PyPI: sparkguardian

Developer

GitHub

Open source

View on GitHub

Index record

Identity confidence: Low · 64
Indexed: 27 Jun 2026
Lifecycle: Dead
Activity: Stale
Last seen: 27 Jun 2026

Identity audit (12)

Slug: sparkguardian-pypi-org
Lifecycle last checked: 17 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 27 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://github.com/sparkguardian/sparkguardian

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