Search Results for ".csv" - Page 5
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Showing 221 open source projects for ".csv"
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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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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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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/ -
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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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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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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, Assistant Professor, Department of Chemistry, Rajus' College, Affiliated to Madurai Kamaraj University Rajapalayam (TN) India email: rrcmks(at)gmail.com -
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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... -
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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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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. -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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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 :) -
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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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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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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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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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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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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
...While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. These can be used to create interactive time series, scatter, and box plot charts. -
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TradingView Chart Data Extractor
Extract price and indicator data from TradingView charts
...Too many indicators or too low a time resolution will increase the data points and potentially overload the free server. Avoid this by hosting/running the script on your local machine or scraping multiple times with fewer indicators and manually combining the CSV afterward. Simply append the URL of a chart/idea published on TradingView to the link below. This is not the URL of a security's chart, but the URL for a user-published chart. -
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pyFileSearcher
simple searching tool for big fileservers
pyFileSearcher was designed to be lightweight, easy to use, but capable of handling a large volume of files tool. A tool that I personally could use on large corporate servers to find out - which files have taken all my space in the last few days? It's free, it's opensource, it's for linux and windows. The program is written in Python 3 using the Qt5. -
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CMD Plot Tool
Calculates and plots Colour Magnitude Diagrams from Astronomical data
...Sample data is also bundled, to demonstrate its complete functionality to users. Other functionality within this application is the ability to convert DAOPHOT magnitude files to CSV format. -
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The tool will change source format to the other format. It usually uses with .csv file. ==Usage Example== 1. Open source file by “Open File”. 2. (Optional) If source have 7 columns, please check "Specify" checkbox and then set “The number of column from source file” to ‘7’. E.g. 0 ,0 ,0 ,0 ,0 ,0 ,0 18 ,154 ,0 ,204 ,5 ,0 ,2.55 3. (Optional) Set "Splite by", the default is ',' 4.
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Bots open source edi translator
Bots is a complete translator for edi: edifact, x12, xml, tradacoms
Bots is a complete translator for edi (Electronic Data Interchange). EDI data formats eg: edifact, x12, tradacoms, xml. Mail: http://groups.google.com/group/botsmail Web-site: http://bots.sourceforge.net Wiki: http://bots.readthedocs.io Develop: https://github.com/eppye-bots/bots -
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pyspread
Python spreadsheet application
Pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet. Pyspread expects Python expressions in its grid cells, which makes a spreadsheet specific language obsolete. Each cell returns a Python object that can be accessed from other cells. These objects can represent anything including lists or matrices. Dependencies + Python (>=2.7, <3.0) + numpy... -
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A few python functions to read common metrology formats from different instruments: Zygo, MountainView, Digital Surf, .sur
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AerinSistemas-Noname
Elasticsearch to Pandas dataframe or CSV
API and command line utility, written in Python, for querying Elasticsearch exporting result as documents into a CSV file. The search can be done using logical operators or ranges, in combination or alone. The output can be limited to the desired attributes. Also ToT can insert the querying to a Pandas Dataframe or/and save its in a HDF5 container (under development). -
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ECDICT
Free English to Chinese Dictionary Database
...It aggregates headwords, phonetics, parts of speech, translations, and example information into formats that are easy to integrate. The project provides multiple distribution forms—commonly SQLite/CSV/StarDict-style files—so you can choose the right storage and query approach for your app. Because it’s offline and local, it avoids network latency and licensing hurdles that come with calling proprietary dictionary APIs. The dataset is large enough to support general-purpose lookup while being manageable to ship with desktop or mobile apps. ...
