Spectrakit
B+ 88 completed
Library
cli / python · small
159
Files
16,080
LOC
3
Frameworks
6
Languages
Pipeline State
completedRun ID
#307558Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
86.00Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:24Deduplication group #61480
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (9)
Project DescriptionRepositoryWeb FrontendapitestingLoggingConfigurationSearchTesting
Repobility · severity-and-effort ranking · https://repobility.com
🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
_read_cssReads the content of a predefined CSS file located at a specific path. It accepts no arguments and returns the entire content of the stylesheet as a string, or an empty string if the file does not exist. This function has no observable side effects other than reading the file system.
_read_esmReads the content of a specified JavaScript module file, returning the entire source code as a string if the file exists. If the required build artifact is missing, it logs a warning message to the console and instead returns a predefined fallback string. The function takes no explicit inputs but re
SpectrumViewer.set_spectrumUpdates the internal spectrum data by accepting either a single Spectrum object or a list of Spectrum objects as input. It processes the input by serializing the spectrum or spectra into a binary format, storing the result in the instance's spectrum_data attribute. The function logs an informational
AI Prompt
Create a command-line tool using Python for spectral data processing. I need it to handle tasks like smoothing, baseline correction, normalization, and peak analysis for IR, Raman, and NIR spectra. The tool should ideally allow users to process data loaded from files and support chaining multiple processing steps in a pipeline fashion. Since it's a CLI tool, please ensure it's structured to be easily runnable from the terminal.
python cli spectral-data signal-processing scientific-computing
Generated by gemma4:latest
Catalog Information
pyspectrakit is a Python library designed to facilitate the processing of spectral data.
Description
This project provides a comprehensive toolkit for handling spectral data in various formats. It offers a range of functionalities, including baseline correction, normalization, smoothing, despiking, similarity metrics, peak analysis, and multi-format input/output operations. The library is built using Python and relies on several popular libraries such as matplotlib, numpy, rich, scikit-learn, scipy, and typer.
الوصف
هذا المشروع يقدم مجموعة أدوات شاملة لتعامل مع البيانات الطيفية في تنسيقات متعددة. يحتوي على مجموعة من الوظائف، بما في ذلك تصحيح الأساس، والت.normalization، والsmooth، وdespike، ومؤشرات التشابه، وتحليل القمم، وعملية إدخال/إخراج متعددة التنسيق. يتم بناء المكتبة باستخدام لغة بايثون ويعتمد على مجموعة من مكتبات الشبكة الشائعة مثل matplotlib، numpy، rich، scikit-learn، scipy، و typer.
Novelty
5/10Tags
spectral-data-processing baseline-correction normalization smoothing despiking similarity-metrics peak-analysis multi-format-io
Technologies
matplotlib numpy rich scikit-learn scipy typer
Claude Models
claude-opus-4.6
Quality Score
B+
88.3/100
Structure
94
Code Quality
90
Documentation
90
Testing
75
Practices
86
Security
92
Dependencies
90
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (43% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- 374 duplicate lines detected \u2014 consider DRY refactoring
Security & Health
7.1h
Tech Debt (B)
Medium
DORA Rating
A
OWASP (100%)
Repobility · code-quality intelligence platform · https://repobility.com
PASS
Quality Gate
A
Risk (1)
MIT
License
7.0%
Duplication
Languages
Frameworks
React pytest Vite
Symbols
variable113
function112
constant75
method17
class12
property3
interface1
Concepts (9)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Repobility (the analyzer behind this table) · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | > Python toolkit for spectral data processing: smoothing, baseline correction, > normalization, scatter correction, derivatives, peak analysis, and more. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Repository | Found repository-named files | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Frontend | web-frontend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | api | Detected api layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | testing | Detected testing layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Logging | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Configuration | Detected from 3 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Search | Detected from 3 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 108 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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