Showing 20 open source projects for "excel project"

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  • 1
    WhatsApp Beacon

    WhatsApp Beacon

    OSINT tool for tracking WhatsApp online status via Web automation

    WhatsApp Beacon is an open source OSINT tool designed to monitor and analyze the online activity status of WhatsApp users through WhatsApp Web. It uses Selenium automation to interact with the web interface and detect when a target account goes online or offline. By continuously monitoring these changes, WhatsApp Beacon records connectivity patterns and builds a historical dataset of activity sessions. The collected information is stored in logs and a local database, allowing users to review...
    Downloads: 61 This Week
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  • 2
    OpenBB Terminal

    OpenBB Terminal

    Investment research for everyone, anywhere

    ...It is the first time in history that users, regardless of their background, can so easily add features to an investment research platform. The MIT Open Source license allows any user to fork the project to either add features to the broader community or create their own customized terminal version. The terminal allows for users to import their own proprietary datasets to use on our econometric menu. In addition, users are allowed to export any type of data to any type of format whether that is raw data in Excel or an image in PNG. ...
    Downloads: 22 This Week
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  • 3
    OSCAL

    OSCAL

    Open Security Controls Assessment Language (OSCAL)

    NIST is developing the Open Security Controls Assessment Language (OSCAL), a set of hierarchical, XML-, JSON-, and YAML-based formats that provide a standardized representation of information pertaining to the publication, implementation, and assessment of security controls. OSCAL is being developed through a collaborative approach with the public. Public contributions to this project are welcome. With this effort, we are stressing the agile development of a set of minimal formats that are...
    Downloads: 7 This Week
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  • 4
    AI Data Science Team

    AI Data Science Team

    An AI-powered data science team of agents

    AI Data Science Team is a Python library and agent ecosystem designed to accelerate and automate common data science workflows by modeling them as specialized AI “agents” that can be orchestrated to perform tasks like data cleaning, transformation, analysis, visualization, and machine learning. It provides a modular agent framework where each agent focuses on a step in the typical data science pipeline — for example, loading data from CSV/Excel files, cleaning and wrangling messy datasets, engineering predictive features, building models with AutoML, connecting to SQL databases, and producing visual outputs — all driven by natural language or programmatic instructions. The project includes ready-to-use applications that showcase these agents in action, such as an exploratory data analysis copilot that generates reports, a pandas data analyst that combines wrangling and plotting, and SQL database agents that can query business databases and output results directly.
    Downloads: 1 This Week
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  • 5
    RecAI

    RecAI

    Bridging LLM and Recommender System

    RecAI is an open-source research platform developed by Microsoft to explore how large language models can be integrated into modern recommender systems. Traditional recommender systems rely on structured behavioral data such as user interactions and item embeddings, while large language models excel at understanding language and reasoning about user preferences. RecAI aims to bridge these two domains by creating architectures and training methods that allow LLMs to function as intelligent recommendation engines. The project explores several approaches, including fine-tuning language models using user behavior data, building recommender agents, and using LLMs to explain recommendation results. ...
    Downloads: 0 This Week
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  • 6
    Perception Models

    Perception Models

    State-of-the-art Image & Video CLIP, Multimodal Large Language Models

    ...The project supports a wide range of research applications, from visual recognition and dense prediction to fine-grained multimodal understanding. Additionally, it includes several large-scale open datasets for both image and video perception.
    Downloads: 0 This Week
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  • 7
    TAVIA

    TAVIA

    Open statistics and scientific graphing

    TAVIA is a free and open-source desktop application for statistical analysis, scientific graphing, reproducible workflows, and research project management. It combines editable data tables, statistical tests, regression, dose-response analysis, publication-quality graphs, reports, project history, and reproducibility tools in one workspace. Analyses and graphs remain linked to their source data so results can be refreshed when data changes. TAVIA supports Windows, Linux, and macOS, includes...
    Downloads: 3 This Week
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  • 8
    igel

    igel

    Machine learning tool that allows you to train and test models

    A delightful machine learning tool that allows you to train/fit, test, and use models without writing code. The goal of the project is to provide machine learning for everyone, both technical and non-technical users. I sometimes needed a tool sometimes, which I could use to fast create a machine learning prototype. Whether to build some proof of concept, create a fast draft model to prove a point or use auto ML. I find myself often stuck writing boilerplate code and thinking too much about...
    Downloads: 0 This Week
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  • 9
    Paperless-ng

    Paperless-ng

    A supercharged version of paperless, scan, index and archive docs

    Paperless is a simple Django application running in two parts, a Consumer (the thing that does the indexing) and a Web server (the part that lets you search & download already-indexed documents). Paper is a nightmare. Environmental issues aside, there’s no excuse for it in the 21st century. It takes up space, collects dust, doesn’t support any form of a search feature, indexing is tedious, it’s heavy and prone to damage & loss. I wrote this to make “going paperless” easier. I do not have to...
    Downloads: 0 This Week
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  • 10
    QtiPlot
    QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
    Downloads: 59 This Week
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  • 11

    pyPIDTuneMethods

    PID controller design and tuning

    ...pyPIDTuneMethods is based on scipy (numpy, scipy) <http://www.scipy.org/ >, guiqwt <http://code.google.com/p/guiqwt/ >, python control <http://python-control.org/> and pyQt5 <http://www.riverbankcomputing.co.uk >. If you are not familiar with python you can use winpython <http://winpython.sourceforge.net/>. You can also download it from pypi <https://pypi.org/project/pyPIDTuneMethods/>. You may also just download the Excel file 'xlPIDTunemethods.xlsm' <https://sourceforge.net/projects/pypidtunemethods/files/xlPIDTuneMethods.xlsm/download> with the predefined tuning methods. Checkout the following youtube videos : PID Tune <https://youtu.be/9GAMoq5DDlc>
    Downloads: 0 This Week
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  • 12
    The purpose of the current project is the development of a potentially open-source platform that would provide the capability to conduct virtual bioequivalence trial simulations. Ideally, this user-friendly platform will provide the user with many user-defined capabilities. Algorithm implementation for population pharmacokinetic analysis: The current project describes the marriage between PBPK modeling and population-based statistical analysis. The latter is necessary for parameter...
    Downloads: 0 This Week
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  • 13
    icemac.addressbook

    icemac.addressbook

    Multi user address book application accessable through the web.

    Multi user address book application accessable through the web. Store, edit, search and export addresses, phone numbers, … using a web browser. Code moved to https://bitbucket.org/icemac/icemac.addressbook Documentation see https://icemacaddressbook.readthedocs.io/en/latest/ New releases (after 6.0.2) see https://pypi.org/project/icemac.addressbook/#history
    Downloads: 0 This Week
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  • 14
    QAL

    QAL

    Query Abstraction Layer

    Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server.
    Downloads: 0 This Week
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  • 15

    Data analysis for ADEXL

    Create Excel reports from results of Cadence ADE-XL simulations

    *** Required files from "Excel COM API for Python" project *** The scripts allows post processing of data saved in CSV format from "Detail - Transposed" view of ADE-XL
    Downloads: 0 This Week
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  • 16
    OpenNumismat

    OpenNumismat

    Coin collecting software for organize and manage your own catalogue

    This project has been migrated to github - please visit http://opennumismat.github.io OpenNumismat is a handy and reliable application aimed at coin lovers, numismatists or amateurs looking to create a numismatics collection. With OpenNumismat, you will be able to create, organize and manage your own coin catalogue with detailed description and photos for each of the items.
    Downloads: 0 This Week
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  • 17

    CogPy

    Cognitive Python

    ...A few of its main features are: - A full-featured 2D display library for rapid development - Full control of computer I/O (display, mouse, keyboard, gamepad, joystick, audio) - Advanced library of data collection techniques - Data export to NumPy/SciPy, R, MATLAB, and Microsoft Excel - Compatibility with PyACT-R for cognitive modeling If you are interested in contributing to the CogPy project, contact the lead developer, Jasper Danielson, at jrd4@rice.edu.
    Downloads: 0 This Week
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  • 18
    Data Ninja

    Data Ninja

    A document clustering system with search & report generation features

    A university project - A document clustering software for an audit client with additional features. The main task of clustering takes documents in a directory as an input and outputs an Excel spreadsheet displaying clusters of documents, with each cluster containing documents that are similar to each other. The search features take search terms as input by the user and a directory with documents as an input and outputs an Excel spreadsheet displaying all documents containing the search term and gives similar documents to these. ...
    Downloads: 0 This Week
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  • 19
    A collection of python modules to produce MS Excel files. This is a fork from the pyexcelerator project. My contribution is mainly adding extra helper utilities and documentation, fixing bug issues and adding extra functionality.
    Downloads: 0 This Week
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  • 20
    pyXLWriter is a Python library for generating Excel compatible spreadsheets. It's a port of John McNamara's Perl Spreadsheet::WriteExcel 1.0 module (see http://www.cpan.org) to Python. Requires Python 2.1+. [Project was stopped]
    Downloads: 0 This Week
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