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timeseries-qc

PyPI·Infrastructure

timeseries-qc is a Python package that classifies timeseries data as Good, Sus, or Bad based on logic and business rules. It also renders a multi-tag quality timeline chart for visualization. Primarily useful for SCADA, historian, and industrial IoT datasets, it is open source under the MIT license.

Open SourceMITCLI
Visit PyPI↗
3stars
1fork
5features
2026since

Overview

5 features

timeseries-qc is an Other dev tools project. It focuses on determining and visualizing the quality of industrial timeseries/sensor data according to custom logic and rules. It is built as an open-source project for data engineers. timeseries-qc is open source under the MIT license. It runs on the command line.

Behind timeseries-qc is nagusubra, and it first shipped in 2026. Development happens publicly on GitHub with 76 commits in the last 90 days. Among its 5 catalogued features are Data Classification, Quality Timeline, and Multi-tag Chart.

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

  • ✓Data Classification
  • ✓Quality Timeline
  • ✓Multi-tag Chart
  • ✓Business Rules
  • ✓Data Validation
Tags
timeseries-qualitydata-validationscada-toolsindustrial-iotsensor-data

Built with & integrations

Runs on
CLI

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Open Source✓Free tier✓GitHub · ★ 3✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed3 Aug · 03:31 UTC
    timeseries-qc verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about timeseries-qc

What is timeseries-qc?
Timeseries-qc focuses on determining and visualizing the quality of industrial timeseries/sensor data according to custom logic and rules. It is catalogued under Other dev tools on PulseGate.
Who is timeseries-qc for?
timeseries-qc is an open-source project built for data engineers.
Does timeseries-qc have a free plan?
Yes — timeseries-qc is open source under the MIT license and free to use.
What platforms does timeseries-qc run on?
timeseries-qc runs on the command line.
Is timeseries-qc still maintained?
The GitHub repository shows 76 commits in the last 90 days.
What are alternatives to timeseries-qc?
Similar projects tracked by PulseGate include funkuino, cnpj-val, and xpdp1l4lhc980s.funkuinocnpj-valxpdp1l4lhc980s
Who develops timeseries-qc?
timeseries-qc is developed by nagusubra.
How long has timeseries-qc been around?
timeseries-qc first shipped in 2026.

At a glance

Platforms
Cli
Languages
English
Open source
Yes · ★ 3
License
MIT
First seen
3 Aug 2026
Built for
data engineers
Model
Open source
Solves
Determining and visualizing the quality of industrial timeseries/sensor data according to custom logic and rules.

Registered as

GitHub
nagusubra/timeseries-qc
PyPI
timeseries-qc

Developer

nagusubra
Small team
↗ GitHub

Open source

View on GitHub →
Stars
3
Forks
1
Open issues
10
Last commit
3 Aug 2026
Commits 90d
76
Contributors
4
Authorship
Small team
Default branch
main
Latest release
v0.5.0 · 3 Aug 2026

Live coverage

Identity confidence
Low · 64
Indexed
3 Aug 2026
Lifecycle
Alive
First seen
Aug 2026
Last seen
3 Aug 2026
Identity audit (13)
Slug
timeseries-qc-pypi-org
Lifecycle state recorded
3 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
3 Aug 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
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.
Last updated
3 Aug 2026
Canonical URL
https://pypi.org/project/timeseries-qc

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