Showing 231 open source projects for "csv"

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  • 1
    Bandwidth

    Bandwidth

    Monitor monthly internet Transmit and Receive bandwidth usage - Linux

    Keep track of bandwidth usage Allows Linux users to monitor their Transmit and Receive bandwidth usage with a simple text based menu, via your browser or from the command line. Some of us are unable to get "unlimited", "all that you can eat", internet packages and are left trying to stay within our Download/Upload limits, whilst paying dearly for the "privilege". Equally, we didn't have the foresight or the money to purchase an snmp managed router, so we are unable to strip the traffic...
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  • 2
    instagram-profilecrawl

    instagram-profilecrawl

    Instagram profile crawler that extracts posts, tags, and stats

    ...The collected data can include profile metadata, post details, engagement metrics, and commenter activity, allowing users to analyze account behavior or monitor profile growth over time. It also provides scripts for downloading images from crawled profiles and logging statistics into CSV files for tracking metrics like followers, likes, and comments. Authentication is optional, meaning the crawler can access public profile data without logging in.
    Downloads: 0 This Week
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  • 3
    q - Text as Data

    q - Text as Data

    Run SQL directly on CSV or TSV files

    ...Use -e data-encoding to set the input data encoding, -Q query-encoding to set the query encoding, and use -E output-encoding to set the output encoding. Sensible defaults are in place for all three parameters. Files with BOM: Files which contain a BOM (Byte Order Mark) are not properly supported inside python's csv module. q contains a workaround that allows reading UTF8 files which contain a BOM - Use -e utf-8-sig for this. The plan is to separate the BOM handling from the encoding itself, which would allow to support BOMs for all encodings.
    Downloads: 2 This Week
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  • 4
    INVESTOCK - Analyze Indian shares

    INVESTOCK - Analyze Indian shares

    Back test, analyze, rate of return of Indian shares for 20+ years.

    ...Interactive graphs will be displayed for the analyzed data and it can be downloaded in any desired formats. Predict the winning percentage of an equity. All the analyzed data can be saved in .CSV file format for further analysis. Maximum Profit & Loss of an equity can be estimated between the selected dates. Designed by Dr. M Kanagasabapathy Coded in Python Project Homepage: https://www.enote.page/ Twitter handle: @nifty_analyst This is the basic version and for advanced options & analyses, please write to me.
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  • 5
    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...
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  • 6
    HostHunter

    HostHunter

    OSINT reconnaissance tool for discovering hostnames from IP addresses

    HostHunter is an open source reconnaissance tool designed to discover and extract hostnames associated with a large set of IPv4 or IPv6 addresses. It helps security professionals map IP addresses to virtual hostnames using a combination of OSINT data sources and active reconnaissance techniques. This approach enables users to identify hidden or additional services that may be hosted behind a single IP address. By correlating hostname information from certificates, APIs, HTTP headers, and...
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  • 7
    DATAGERRY

    DATAGERRY

    Enterprise-Grade OpenSource CMDB with flexible data model.

    DATAGERRY is a flexible OpenSource CMDB & Assetmanagement Tool, which completely leaves the definition of a data model to the user. Simply define your own object types (like servers, routers, leased lines, locations and whatever you want) in an easy to use webfrontend. With our Export API, the CMDB objects stored in DATAGERRY can be easily exported to external systems, like monitoring systems, ticket systems, configuration management, and many many more.
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  • 8

    Marathi MTLD tool (for GNU/Linux)

    A tool for measuring MTLD score of Marathi-Devanagari text

    This tool has been developed as part of M. Phil. research work submitted to the Department of Linguistics, University of Mumbai in 2021. This is version 0.1 of the tool. The tool calculates the number of repeated words present in the Marathi text written in the Devnagari script by using the Measure of Textual Lexical Diversity (MTLD) approach. The program performs the lemmatization process on input text before calculating its MTLD score. The program accepts Devanagari Marathi text as an...
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  • 9
    speedtest-cli

    speedtest-cli

    Command line interface for testing internet bandwidth using speedtest

    Command line interface for testing internet bandwidth using speedtest.net. It is not a goal of this application to be a reliable latency reporting tool. Latency reported by this tool should not be relied on as a value indicative of ICMP style latency. It is a relative value used for determining the lowest latency server for performing the actual speed test against. Speedtest CLI brings the trusted technology and global server network behind Speedtest to the command line. Measure internet...
    Downloads: 1 This Week
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  • 10
    Ansible Config Management Database

    Ansible Config Management Database

    Generate host overview from ansible fact gathering output

    Ansible-cmdb takes the output of Ansible's fact gathering and converts it into a static HTML overview page (and other things) containing system configuration information. It supports multiple types of output (HTML, CSV, SQL, etc) and extends information gathered by Ansible with custom data. For each host, it also shows the groups, host variables, custom variables and machine-local facts. Some templates, such as txt_table and html_fancy, support columns. If a template supports columns, you can use the --columns / -c command-line option to specify which columns to show. ...
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  • 11

    sty-pub-raspi-modbus-drivers

    modbus python scripts for rs485 devices, RTU and TCP

    Solarity an enterprise working with PV systems is developing modbus drivers to get data from modbus devices (inverters, PV system loggers, energy meters, ...) and store its informations into csv files. Some files come from history beginnings and others have a higher level of abstraction where it becomes simple to add a new device with given documentation. You'll find basically SMA cluster controller, SMA inverter manager, SMA inverters, Schneider meter, Adtek meter, ABB inverters. See readme for more informations
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  • 12
    PyArmadillo

    PyArmadillo

    linear algebra library for Python

    PyArmadillo - streamlined linear algebra library for Python, with emphasis on ease of use. Alternative to NumPy / SciPy. * Main page: https://pyarma.sourceforge.io * Documentation: https://pyarma.sourceforge.io/docs.html * Bug reports: https://pyarma.sourceforge.io/faq.html * Git repo: https://gitlab.com/jason-rumengan/pyarma
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  • 13
    lzhw

    lzhw

    LZHW Windows command line lossless compression tool for tabular files

    LZHW Command Line Lossless Compression Tool is a Windows command line tool used to compress and decompress files from and to any form, csv, excel etc without any dependencies or installations. Using an optimized algorithm (LZHW) developed from Lempel-Ziv, Huffman and LZ-Welch algorithms. The tool can work in parallel and most of its code is written in Cython, so it is pretty fast. It is based on python lzhw library. Full tool documentation can be found at: https://mnoorfawi.github.io/lzhw/6%20Using%20the%20lzhw%20command%20line%20tool/ While the documentation for the python library is at: https://mnoorfawi.github.io/lzhw/
    Downloads: 0 This Week
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  • 14
    TFKit

    TFKit

    Handling multiple nlp task in one pipeline

    ...You can use tfkit for model training and evaluation with tfkit-train and tfkit-eval. The key to combine different task together is to make different task with same data format. All data will be in csv format - tfkit will use csv for all task, normally it will have two columns, first columns is the input of models, the second column is the output of models. Plane text with no tokenization - there is no need to tokenize text before training, or do re-calculating for tokenization, tfkit will handle it for you. No header is needed.
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  • 15

    notificaCaducitatContrasenya

    Notificació per correu del venciment de la contrasenya.

    ... - Selecció d'usuaris o grups i també seleccionar l'exclusió d'usuaris i grups. - Selecció dels dies a notificar el bloqueig de la contrasenya. - Notificació a l'administrador dels venciments amb un arxiu format csv. - Notificació a l'administrador dels usuaris amb la data de venciment de la contrasenya. - Notificació als usuaris del canvi de contrasenya. - Diferents plantilles per seleccionar el missatge. Es pot generar plantilles per destinatari, domini i subdomini. El missatge pot estar en html i/o text. - Simulació de la notificació en una data concreta...
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  • 16
    Crystalsim -  XRD hkl simulation

    Crystalsim - XRD hkl simulation

    X-ray diffraction (XRD) analysis for hkl simulation of any crystal.

    ...Crystalline lattice parameters such as ‘a’, ‘b’, ‘c’ as well as interfacial angles such as alpha, beta, gamma can also be entered manually. Processed data can be saved as .csv file format. Designed by M Kanagasabapathy, Associate Professor, Department of Chemistry, Rajus' College, Affiliated to Madurai Kamaraj University Rajapalayam (TN) India email: rrcmks(at)gmail.com
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  • 17
    AttackSurfaceMapper

    AttackSurfaceMapper

    Automated tool for mapping & expanding organization’s attack surface

    AttackSurfaceMapper (ASM) is a reconnaissance and attack surface discovery tool designed to automate the process of mapping potential targets within an organization's infrastructure. It combines open source intelligence (OSINT) with selective active reconnaissance techniques to expand and analyze a target’s external attack surface. Users can supply domains, subdomains, or IP addresses as input, and applies multiple discovery methods to identify additional related assets such as new...
    Downloads: 2 This Week
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  • 18
    CTOSC

    CTOSC

    Tools for processing solar cell characterization data (Rsh,ECV,QSSPC)

    CTOSC stands for 'Characterization Toolbox for Solar Cells' and contains a few functionalities to process solar cell data: sheet resistance mapping, making ECV data graphs, QSSPC lifetime data graphs and showing/averaging PL/EL images. For ECV/Rsh/QSSPC data the program currently supports output files from the Sunlab Sherescan four-point probe (.txt), the WEP Wafer Profiler CVP21 (.csv) and Sinton WCT-120 (.txt).
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  • 19
    Twint

    Twint

    An advanced Twitter scraping & OSINT tool written in Python

    Twint is an advanced open-source Twitter scraping and OSINT tool written in Python that extracts tweets, user data, followers, likes, and more—without relying on Twitter’s API—making it highly useful for researchers, analysts, and hobbyists who want to bypass rate limits and access public Twitter data.
    Downloads: 2 This Week
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  • 20
    CSV-Sanitizer

    CSV-Sanitizer

    Allows the user to automatically create non-sensitive, sanitized CSVs

    This project will allow the user to create non-sensitive, sanitized CSVs automatically, given any CSVs present. Its purpose? Create an easy way for people to share tasks or code that rely on sensitive CSVs, without exposing sensitive data. This project is conducted in Python3. Please see the Readme for more information :)
    Downloads: 0 This Week
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  • 21
    Fav-up

    Fav-up

    Look up IP addresses using favicon hashes via Shodan

    ...To support larger investigations, the tool can iterate over lists of URLs, domains, or favicon files in bulk. Results can be printed to the console or exported into structured formats such as CSV or JSON for further analysis and reporting.
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  • 22

    AutoBench

    This program is a benchmark site data extraction util program

    This program is a program that extracts the latest CPU, GPU, Drive and RAM performance scores and rankings from benchmark sites. The Output Data is saved as a csv, xlsx and xls file. CPU information is written by model name and score. GPU information is written by model name and score. Drive information is written by model name and score. RAM information is written by model name and score.
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  • 23
    setuplib

    setuplib

    Extensions for setuptools - detailed information on entry points

    ...It provides query and filter options on the installed packages and the available information, while displaying the result data in various formats, e.g. as table, list, or JSON, XML, YAML, CSV, etc. The provided commands and extension points integrate seamless into the standard *setuptools* and/or *distutils*. The *setuplib* is member of the group *setuplib* of extension components for the common *setup.py* installer. The targeted users are mainly developers, advanced users, and system administrators.
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  • 24
    SkpyBackup
    OpenSource solution to download your SKYPE contact list in CSV format. https://github.com/SkpyBackup/SkpyBackup Using: https://skpy.t.allofti.me https://pandas.pydata.org https://pypi.org/project/auto-py-to-exe https://visualstudio.microsoft.com/pt-br/vs/community Get this data from your contact list: *id *name *location *language *avatar *mood *phones *birthday *authorised *blocked *favourite
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  • 25
    automl-gs

    automl-gs

    Provide an input CSV and a target field to predict, generate a model

    Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow. No black box: you can see exactly how the data is processed, and how the model is constructed, and you can make tweaks as necessary. automl-gs is an AutoML tool which, unlike Microsoft's NNI, Uber's Ludwig, and TPOT, offers a zero code/model definition interface to getting an optimized model and data transformation pipeline in multiple popular ML/DL frameworks, with minimal Python dependencies (pandas + scikit-learn + your framework of choice). automl-gs is designed for citizen data scientists and engineers without a deep statistical background under the philosophy that you don't need to know any modern data preprocessing and machine learning engineering techniques to create a powerful prediction workflow.
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