Tool

Creates rule-based automation workflows for LinkedIn activities using exported data files. Processes connection requests, messages, and content engagement based on custom criteria. Works with exported LinkedIn data to plan automated actions. Features Parse exported LinkedIn CSV data for contacts and activity history Create conditional rules for connection acceptance based on profile criteria Generate message templates for different contact categories Schedule engagement actions based on time intervals and user behavior Export action plans to standard formats for third-party automation tools Usage python linkedin_rules....

This tool reads your exported ecommerce data (orders, inventory, customers) and identifies process inefficiencies like fulfillment delays, stockouts, and customer churn patterns. It’s for Python developers managing small to mid-sized online stores who want data-driven insights before buying more tools. The key benefit is a clear report showing where to fix your operations first. Features Load and merge multiple CSV/JSON exports from platforms like Shopify or WooCommerce Calculate key metrics: order processing time, inventory turnover, repeat purchase rate Flag anomalies: late shipments, frequent out-of-stock items, high-return customers Generate summary PDF report with charts and prioritized action items Export analysis results to JSON for integration with other systems Usage ecommerce-audit --orders orders....

Automates conversion of academic journal articles from Word format to multiple output formats required by Open Journal Systems. Processes batch files and generates compliant JATS XML for scholarly publishing workflows. Works with locally stored Word documents. Features Converts .docx files to PDF with embedded fonts and proper formatting Generates HTML output with semantic markup for web publication Creates JATS XML files compliant with NLM standards for OJS import Preserves mathematical equations, citations, and bibliographic references Batch processes multiple articles with single command execution Usage python journal_converter....

Processes exported Ebay product data from CSV files to generate organized inventory reports and pricing analysis. Works with Ebay’s export formats to clean and structure your marketplace data for better business insights. Features Parse Ebay CSV export format with multiple column mappings Calculate profit margins and fee breakdowns per item Group products by category, condition, or price range Generate summary reports with sales velocity metrics Export cleaned data to standardized CSV format Usage python ebay_processor....

Python CLI tool that reads post content from CSV files and schedules Instagram uploads with AI-generated captions. Works with pre-exported Instagram data files and generates optimal posting times. Perfect for content creators and social media managers who want consistent posting without manual scheduling. Features Reads post content, images paths, and hashtags from CSV input files Generates optimized posting schedules based on engagement analytics Creates AI-powered captions using local LLM integration Exports ready-to-use Instagram post schedules in JSON format Validates image formats and sizes before generating upload batches Usage python instagram_scheduler....

Reads a CSV of user signups and activity logs, then generates a formatted Excel workbook with a retention cohort matrix. For Python developers analyzing product usage without BI tools. Saves hours of manual spreadsheet work. Features Reads user signup dates and activity logs from CSV Calculates weekly or monthly retention percentages Generates a formatted Excel workbook with a cohort matrix Applies conditional formatting to highlight retention trends Exports a summary sheet with key metrics (e....

Transforms Excel spreadsheets into clean CSV files with customizable column selection and row filtering capabilities. Perfect for data analysts and developers who need to extract specific data subsets from large Excel files. Works offline without requiring Excel installation. Features Convert XLSX/XLS files to CSV format preserving data types Select specific columns by name or index position Filter rows using custom conditions and value matching Support for multiple worksheets within single Excel files Output to console or save filtered results to new CSV file Usage python excel_filter....

This tool automates financial reconciliation for developers and small businesses. It compares exported bank statement CSVs with exported QuickBooks or Xero transaction data, flagging mismatches and generating a detailed report. Saves hours of manual spreadsheet work. Features Load and parse bank statement CSV exports Load and parse QuickBooks/Xero transaction CSV exports Fuzzy match transactions by date, amount, and description Generate reconciliation report with matched and unmatched items Export results to a clean, formatted CSV for review Usage reconcile --bank bank_statement....

This tool reads exported order data (CSV/JSON) and automatically posts positive feedback for buyers. It’s for eBay sellers who want to save time on manual feedback. Works with eBay’s API using a simple token. Features Parse order data from CSV, JSON, or Excel files Filter orders by date, status, or buyer criteria Generate customizable feedback text with templates Submit feedback in bulk via eBay’s Trading API Log results and errors to a local file for review Usage feedback_tool --file orders....

This tool reads order data from a CSV file and automatically generates personalized feedback for each transaction. It’s for eBay sellers who want to save time on repetitive feedback tasks. It works with eBay’s API using a simple token. Features Reads order details from CSV files — requires order ID, buyer username, and item title Generates personalized feedback text using customizable templates Submits feedback to eBay via their official Sell Fulfillment API Handles bulk operations with configurable delays to respect rate limits Logs all actions and results to a local file for audit Usage feedback_tool --csv orders....

A Python CLI tool for eBay sellers who export their inventory data. It cleans messy product titles, validates required fields, and formats data to meet eBay’s listing requirements, saving hours of manual editing. Works with data exported from any platform. Features CSV/JSON input validation for eBay required fields Automatic title cleaning (removes excess caps, fixes spacing) SKU and price column standardization Condition and category ID mapping from plain text Export to eBay-ready CSV or formatted JSON Usage import listing_cleaner listing_cleaner....

This tool reads exported order and inventory CSVs from any ecommerce platform and identifies common process failures like fulfillment delays, stockout patterns, and refund clusters. It’s for Python developers managing small to mid-sized ecommerce operations who need data-driven insights to fix their core workflow before investing in new software. Features Load and merge multiple CSV files (orders, inventory, refunds) Calculate key metrics: order-to-fulfillment delay, stockout frequency, refund rate by product Generate summary report highlighting top 3 process bottlenecks Export findings to a structured JSON file for further analysis Command-line interface with configurable date ranges and filters Usage python -m ecom_audit --orders orders_export....