CSV

Convert bank extracts to transactions for actualbudget

A drag-and-drop graph builder built with PyQtGraph for creating interactive visualizations from CSV data. Features formula-based column creation, multiple plot types, and real-time performance. Now, also has a thermal and electrical conductivity calculator with database. This repository has been made entirely by vibe-coding in Cursor. Project avatar is from https://www.flaticon.com/free-icon/bar-graph_404621

Collection of parsers and import filters for spreadsheet documents.

〽️ The eLxr Metrics project is designed to provide insights into the website performance and package distribution metrics. It tracks key indicators such as website view count and download statistics for binary packages📦, presenting the data in visually informative charts📊📈.

Download Yahoo Finance end-of-day prices and export them to a Quicken-compatible CSV.

PatchVec — A lightweight, multi-model, pluggable vector search microservice with embedded document ingestion.

Upload → chunk → index (with metadata) → search via REST and CLI, with access fine grained by multi-tenant collections.

Provide HTML and CSV reports on members of a group, its subgroups and projects, including access level to make group administration more efficient.

Example: https://gitlab-com.gitlab.io/cs-tools/gitlab-cs-tools/gitlab-group-member-report

This repository contains a Python client that can be used to automatically sync profile information from an identity store to a Pleio subsite.

Lightweight desktop tool for converting and validating tabular datasets into efficient Parquet format.

© 2024 Flash USDT Corporation. All rights reserved.

Simple elastic csv loader/downloader command line

https://elasticcsv.readthedocs.io/en/latest/

Dirty Data: Take a „broken" dataset (with nulls, duplicates, typos,...) and clean it collaboratively to produce a prestine dataset. (Dirty Dataset to practice Data Cleaning)

Work Flow Maintainer: Sets up repo, protects the main branch and manages the Issue Board Null Remove: Writes code to identify and impute missing values Outlier Detection: Uses techniques like boxplots to identify and flag statistical outliers Standardizer: Fixes string inconsistencies Visualizer: Creates,,before vs. after" histograms to prove the data structure hasn't been ruined Quality Assurance: Reviews every Merge Request to ensure the cleaning code doesn't delete valid data

Desktop app that converts soil element concentrations data from ICP-OES and ICP-MS to a LIMS-compatible format.

A production-oriented Machine Learning pipeline that predicts whether an active user session will result in a purchase.

Model: XGBoost Classifier optimized for class imbalance.

Performance: ROC AUC 0.936 | F1-score 0.71 (at 0.30 threshold).

Key Features: Reproducible environment (uv), modular CLI for training/inference, leakage-free preprocessing, and SHAP interpretability analysis.

Data: UCI Online Shoppers Purchasing Intention Dataset.

Tech Stack: Python, XGBoost, Scikit-learn, Pandas, SHAP.

index/main GitLab Pages web site at GitLab of Tiny Weather Forecast Germany open source android weather app by Pawel Dube

Jaxon Dierkers portfolio of DS projects!

Get multi-region details from AWS Organizations accounts.

Get a report on project storage consumption for all projects in your group or instance.

Provides some libraries to read and write simple plain text using the boost Spirit library. The main use case is a CSV parser that should read files conforming to CSV-1203 and RFC-4180 standards.