Automation

We just released Professional Network Automation Rule Builder — build automation rules for linkedin engagement without browser scripting. What it does 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....

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....

We just released Ecommerce Process Audit CLI — analyze order, inventory, and customer csv exports to find bottlenecks and waste. What it does 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....

We just released Journal Article Converter — convert word documents to pdf, html, and jats xml formats for ojs publishing. What it does 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....

We just released Marketplace Product Data Processor — convert ebay listing data into optimized inventory reports. What it does 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....

We just released Social Media Content Scheduler — schedule instagram posts from csv files with automated caption generation. What it does 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....

We just released Spreadsheet Retention Dashboard Generator — turn user activity csv into a formatted excel retention cohort table. What it does 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....

We just released Spreadsheet to CSV Filter Converter — convert excel files to filtered csv with column selection and row filtering. What it does 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....

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....