Search Results for "student management system python"
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Showing 5 open source projects for "student management system python"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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Task Coach
Free flexible open source todo manager featuring hierarchical tasks
Task Coach - Your friendly task manager. Task Coach is a free open source todo manager. It grew out of frustration about other programs not handling composite tasks well. In addition to flexible composite tasks, Task Coach has grown to include prerequisites, prioritizing, effort tracking, category tags, budgets, notes, and many other features. However, users are not forced to use all these features; Task Coach can be as simple or complex as you need it to be. Task Coach is available for... -
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Advanced stylisable and polimorphic multi task chronometer, use on usb, keep tasks between two starting, defer, precision second management : control of work time ... XML structur + csv, xml export http://www.sablures.net
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socklib++ is a light-weight cross-platform C++ socket library. It provides both a high-level interface over iostreams if you want convenience, and a low-level interface if you just want portability.
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OpenSessame is a personnel entry control and time tracking management system. Platform independent, multi-node, client-server system, written in Python, with wxPython/wxWidgets client, a web management gui and PostgreSQL database backend.
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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