Search Results for "plotting csv data" - Page 2
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Showing 207 open source projects for "plotting csv data"
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A read-only JDBC driver for Java that uses Comma Separated Value (CSV) files as database tables. Ideal for writing data import programs and conversion programs.
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CSVFileView
Tab-delimited file viewer and converter for Windows
CSVFileView is a simple utility for viewing and converting CSV or tab-delimited files on Windows. It allows users to view the content in a tabular format and provides several features like sorting, filtering, and reordering columns. The tool also enables exporting files to different formats such as CSV, tab-delimited, XML, and HTML reports. With compatibility from Windows XP to Windows 11, it works seamlessly across different systems. CSVFileView supports operations like removing unwanted... -
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OxyWitleaf2CSV
Witleaf pulse oxymeter BIN format data decoder.
The simple program is a Witleaf handheld pulse oxymeter BIN file format data decoder. It reads BIN-files produced by popular professional pulse oxymeters manufactured by Shenzhen Witleaf Medical Electronics Co., Ltd. (like the WIT-S300 shown in the photo on the project icon) and produces a CSV-formatted output with the extracted data to stdout (gets printed to the console if not directed otherwise). More info on https://github.com/mrKirushko/OxyWitleaf2CSV . -
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TableMD
CSV file to Markdown and Docbook table converter
This application converts standard CSV files to Markdown and/or Docbook tables. -
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csv2odf
csv2odf can convert csv data to formatted spreadsheets and documents.
csv2odf can create business intelligence reports from csv data sources with output to ods, odt, html, xlsx, or docx documents. It uses a template file that you design to control the layout, fonts, and colors. Just query your database with output to csv (or tsv), then use csv2odf to insert the data into your template to produce a nice looking formatted output. It is a command line tool and you can automate the generation of reports by using scripts and cron. ... -
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JRecord
Read Cobol data files in Java
provide Java Record based IO routines for Fixed Width (including Text, Mainframe, Cobol and Binary) and delimited Flat files via a Record Layout (Cobol, CSV or XML). The source is now available at https://github.com/bmTas/JRecord Projects using JRecord include: * https://github.com/thospfuller/rcoboldi - Cobol File in R * https://github.com/tmalaska/CopybookInputFormat - Cobol files in Hadoop * https://github.com/gss2002/copybook_formatter * https://github.com/gss2002/ftp2hdfs... -
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RecordEditor
Editor for Fixed Width, Csv and Existing Xml files.
The RecordEditor is a Data File editor for Flat Files (delimited and fixed field position). It supports Unix / PC / Legacy (e.g. Mainframe) file formats, both Text and binary files. The Editor uses a Record-Layout description to format the files. This is ideal for Fixed width (Text or Binary) files, Cobol Data Files, Mainframe files and complicated Csv files. -
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CSV to JSON
Blazing fast and Comprehensive CSV Parser for Node.JS
A Node.js library that converts CSV files into JSON format efficiently, supporting large files and advanced parsing. -
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FSharp.Data
F# Data: Library for Data Access
The FSharp.Data package implements core functionality to access common data formats in your F# applications and scripts. It contains F# type providers for working with structured file formats (CSV, HTML, JSON and XML) and helpers for parsing CSV, HTML and JSON files and for sending HTTP requests. This library focuses on providing simple access to structured documents and other data sources. The FSharp.Data type providers for CSV, HTML, JSON and XML infer types from the structure of a sample document (or a document containing multiple samples). ... -
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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/ . -
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A free Java library and extensible framework for mapping, parsing and unmarshalling CSV file contents into Plain Old Java Objects. It provides Xdoclet support for easy and painless mapping of CSV records to Java Objects. The library requires J2SE 1.5
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xsd2pgschema
Relational database replication tool based on XML Schema
xsd2pgschema is a Java application suite, which converts XML Schema 1.1 (hierarchical data model) to PostgreSQL DDL (relational data model) and supports XML data migration into PostgreSQL based on the XML Schema without defects on information content. It also supports full-text indexing via either Apache Lucene or Sphinx Search utilizing the relational data model. File conversion from XML to CSV, TSV, or JSON is possible as well as mapping XML Schema to JSON Schema. ... -
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asammdf
Fast Python reader and editor for ASAM MDF / MF4 (Measurement Format)
*asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4 -
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XLSX I/O
C library for reading/writing values from/to Excel .xlsx files.
...The .xlsx file format is the native format used by Microsoft(R) Excel(TM) since version 2007. The library was written with the following goals in mind: - primary focus on data values organized in tables, on not layout or graphics - written in standard C, but allows being used by C++ - simple interface - small footprint - portable across different platforms (Windows, *nix) - minimal dependancies: only depends on expat (only for reading) and libzip (which in turn depends on zlib) - separate library for reading and writing .xlsx files Also includes command line tools to convert between .xslx and CSV files. -
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GETL
ETL engine based on Groovy
P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven. GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL». GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with... -
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ldif-extract
Extrect selected entries from LDIF files like grep
ldif-extract is a small 'grep' like tool to extract and convert data from LDIF files. It could be used standalone or also in a pipe together with other tools like ldapsearch. -
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Srilanka-Holidays
Sri Lankan official holidays open-source API & data
An open-source API to get Sri Lankan holidays and a list of Sri Lankan holidays in several file formats for easy integration with your applications. Holidays are updated every year and currently contains holidays starting from 2021. - Reliable and accurate local data updated every year - Available as both API and downloadable files in CSV, JSON, XML, ICS - Holiday categorizations (Public, Bank, Mercantile, Poya, etc.) -
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abnamro-effnota
Convert pdf effecten notas van ABN AMRO naar een CSV file
ABN effecten nota's kunnen alleen in pdf formaat gedownload worden. Met deze tool kunnen pdf effecten nota's worden omgezet in een csv file. De tool is een command line tool geschreven in C en voor Windows. -
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A set of Perl modules to parse the 401k transaction webpage from Sentinel Benefits and convert it into files for import into financial software, eg CSV, QIF, OFX.
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Papa Parse
CSV parser that handles large files and malformed input
The world's first multi-threaded CSV parser for the browser. Use Papa when performance, privacy, and correctness matter to you. Papa alleviates privacy concerns related to uploading files. Malformed CSV is handled gracefully with a detailed error report. Now the fastest JavaScript CSV parser for the browser. Papa can handle files gigabytes in size without crashing. CSV to JSON and JSON to CSV. Auto-detect delimiter, open local files, download remote files, stream local and remote files,... -
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jaggr
JSON Aggregation CLI
Jaggr is a command line tool to aggregate in real time a series of JSON logs. The main goal of this tool is to prepare data for plotting with jplot. So here we give a stream of real-time requests to jaggr standard input and request the aggregation of the code and latency fields. For the code, we request a histogram with some known error codes with an "other" bucket defined by *. The latency field is aggregated using minimum, maximum, and mean. In addition, @count adds an extra field indicating the total number of lines aggregated. ... -
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latex2exp
Use LaTeX in R graphics
latex2exp is an R package that lets you use LaTeX in plots. It parses and converts LaTeX to R’s custom plotmath expressions. You can read the full documentation on the package’s website. Expressions returned by latex2exp can be used to create formatted text and mathematical formulas and symbols to be rendered as axis labels, annotations, legends, titles, etc. throughout R’s plotting system. -
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Bots-ediint open source edi translator
open source edi translator
Bots-ediint is a file translator for EDI (Electronic Data Interchange). Translate files and databases data format to another one: edifact, x12, tradacoms, xml, json, raw, database (postgres, sqlite, mysql, oracle, ...) and more. Bots-ediint is based on Bots https://bots.sourceforge.net Support Python 2 and Python 3 AS2 communications are carried out with my external software that could work in standalone and/or in a Bots channel to send and receive AS2 messages (SYNC and... -
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SPyQL
Query data on the command line with SQL-like SELECTs powered by Python
...SPyQL is a query language that combines the simplicity and structure of SQL with the power and readability of Python. SPyQL offers a command-line interface that allows running SPyQL queries on top of text data (e.g. CSV, JSON). Data can come from files but also from data streams, such as as Kafka, or from databases such as PostgreSQL. Basically, data can come from any command that outputs text :-). More, data can be generated by a Python expression! And since SPyQL also writes to different formats, it allows to easily convert between data formats.
