Open Source Python Data Formats Software - Page 16
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Python Data Formats Software
View related business solutionsBrowse free open source Python Data Formats Software and projects below. Use the toggles on the left to filter open source Python Data Formats Software by OS, license, language, programming language, and project status.
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msgspec
A fast serialization and validation library, with builtin
msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. -
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ndexr
Indexes directories and outputs to JSON
Tool to use from Python interactive interpreter or script. Use it to make JSON indexes of all files in a directory, or files of a certain type. Could be used to observe activity in a server directory, to generate JSON to send to clients searching remotely, or to keep an index of files in a directory when the user of that directory does not have permission to probe the files system for files without knowing their names. Uses a configuration file, or optionally you can pass configuration information as keyword arguments. Also see recursive example. -
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nexml is an xml format that represents phylogenetic data (trees, character sequence alignments, sets of OTUs, substitution models). The format is inspired by the commonly used flat-file NEXUS format, but more robust and easier to process.
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nodejsscan
nodejsscan is a static security code scanner for Node.js applications
Static security code scanner (SAST) for Node.js applications powered by libsast and semgrep. nodejsscan is a static security code scanner for Node.js applications. -
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command-line utility to convert between all 183 formats supported by openoffice. Convert doc to html, html to png, etc. Requires OpenOffice but does not require any previously installed openoffice macros. Uses the python interpreter that is integrated in
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orjson
Fast, correct Python JSON library supporting dataclasses, datetimes
orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson does not support PyPy. Releases follow semantic versioning and serializing a new object type without an opt-in flag is considered a breaking change. -
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A simple and still alpha Python script to extract features out of an OpenStreetMap (OSM) file into basic Keyhole markup language (KML)
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pandas-datareader
Extract data from a wide range of Internet sources
Up-to-date remote data access for pandas. Works for multiple versions of pandas. Install using pip and then import and use one of the data readers. This example reads 5-years of 10-year constant maturity yields on U.S. government bonds. Stable documentation is available on github.io. A second copy of the stable documentation is hosted on read the docs for more details. -
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pdf-editor
Edit your PDFs without needing a subscription or creating accounts
Edit your PDFs without needing a subscription or creating accounts. Add a GUI/Turn it into a web application. Add a parser for the command line to do multiple commands at once e.g. merge (cut pdf1) pdf2. Tested working with Python 3.8.5. Install venv (py -3.8 -m pip install virtualenv). PDF and Word documents are binary files, which makes them much more complex than plaintext files. In addition to text, they store lots of font, color, and layout information. If you want your programs to read or write to PDFs or Word documents, you’ll need to do more than simply pass their filenames to open(). -
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pdfly
CLI tool to extract (meta)data from PDF and manipulate PDF files
A Python library designed for manipulating PDF files with functionalities for extraction, transformation, and document generation. -
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pdfplumber
Plumb a PDF for detailed information about each char, rectangle, line
pdfplumber is an open-source Python library designed to extract detailed information from PDF documents, including text, tables, characters, lines, rectangles, and other graphical objects. Built on pdfminer.six, it provides precise access to the position, dimensions, and properties of individual page elements. Users can extract text while preserving layout information and identify tables through configurable detection strategies. The library supports page cropping, object filtering, and visual debugging tools that display detected elements and table boundaries. It also provides access to PDF metadata and password-protected documents. A command-line interface exports page objects into structured CSV or JSON data. pdfplumber works best with digitally generated PDFs and is useful for document analysis, data extraction, and automated processing workflows. -
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Python module and command line utility that analyzes XML output from the program pdftohtml in order to extract tables from PDF files. Outputs CSV.
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Picxml is a tool for xml files management. Used as command: Picxml is a shell friendly, xpath like query tool. Used as library: picxml, is a full featured xml Parser, wich allows you to navigate, find/create/update/delete/print nodes.
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This is a lightweight and fast library for reading and writing any PNM file - PBM, PGM and PPM, up to 16 bits per sample, in ascii/binary format. Library contains also a Python bindings - module pixfiles with PixFile class.
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now here: https://github.com/plastex/plastex plasTeX is a Python-based LaTeX document processing framework. It gives DOM-like access to a LaTeX document, as well as the ability to generate mulitple output formats (e.g. HTML, DocBook, tBook, etc.).
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py-collectd-csv
A python module and scripts for fetching specific CollectD CSV data.
CollectD-CSV is a small project providing utilities for analyzing CollectD CSV data locally. CollectD_CSV module provides functions for fetching data with a specified time interval and regular expressions matching the end of the path without the datestamp. The fetched data can be saved into files or returned as a list. fetchCSV.py script can be used to fetch the data matching the given parameters and save to files in a specified directory. monitorCSV.py script calculates the minimum, average and maximum values of specified resources on one host from the last XX minutes. -
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pyDaSSQLiteMan
An easy way to manage SQLite databases and query CSV files
Welcome to the project page for pyDaSSQLiteMan (Python Data and SQLite Manager). This application is a Python Tkinter application designed to enable easy SQLite database file manipulation, and an easy method to run SQL styled queries on CSV files. If you're not downloading the pre-compiled executable you will need Python to run this app. You can download it from http://www.python.org/ . I'd recommend something after version 3. Testing has been Windows based. SQLite is a free database format released into the public domain. See http://www.sqlite.org/ Please check out the Wiki Home page https://sourceforge.net/p/pycsvdb/wiki/Home/ and the General Help page (https://sourceforge.net/p/pycsvdb/wiki/General%20Help/) to find extra information and help. Please check out the Wiki Home page for an introduction. -
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