Search Results for "one-wire"
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Showing 18 open source projects for "one-wire"
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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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reCsvEditor
Editor for simple (only one record type) Csv Files.
Editor for both Csv files and Fixed width files. There is automatic attribute detection for single record Csv Files. You can edit Fixed Width file and Multi-Record Csv / Fixed width files using a Xml Schema. There is also limited editing available for Xml and PO files. -
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Free VCF file to CSV or Excel converter
Excel VBA Script to convert VCF file with multiple entries to CSV file
This is an Excel based VBA script used to import bulk .VCF files that contain more than 1 Vcard and then convert them to a comma separated .CSV file or Excel xls file that can then be imported into Outlook, Google, or any other application that supports import of contacts using CSV files. This has been written to support VCF 2.0, 2.1, 3.0 and 4.0 formatted files including those with printable encoding (MIME) and has been tested with bulk VCF files from Backupify, Google Contacts (Gmail Contacts), Apple IOS, Samsung Android devices and other platforms. ... -
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FREE CSV & Text (TXT) File Splitter
Ability to work with large csv files and cut them down to run in Excel
This CSV and TXT file splitter firstly allows you to work with large data files. We have tested this on the largest CSV file we could find. It had over 25.6 Million rows. Microsoft Excel can only load 1 Million rows. So the challenege was on! Splitting a file in this case by 990,000 rows made sure that it was more than capable to load into excel. Splitting 25.6Million rows took aroud 50 minutes. Has been tested reading 25Million rows which took around 15 seconds to read. Its made using the .NET framework version 4.6 -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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xml2csv.jar
Command-line xml to csv tool
xml2csv is a small command-line tool written in JAVA and can be used on all platforms, for which JRE 8 or higher is available. Examples: 1. Help java -jar xml2csv-1.0.jar --help 2. Extract nodes from xml: java -jar xml2csv-1.0.jar --nodes test/cd_catalog.xml The result is the full node name and number of repetitions: /CATALOG=1 /CATALOG/CD=26 /CATALOG/CD/TITLE=26 /CATALOG/CD/ARTIST=26 /CATALOG/CD/COUNTRY=26 /CATALOG/CD/COMPANY=26 /CATALOG/CD/PRICE=26 /CATALOG/CD/YEAR=26 3. ... -
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jdbc2csv.jar
Command-line sql JDBC tool
...To connect to a specific DBMS the tool uses its JDBC driver. The result of the executed 'select' query is displayed in CSV format ( different standards are supported ). When there is an error the tool stops with exit code 1 and the error message is output on stderr. jdbc2csv is created with a main purpose to be used in shell-scripts. Relatively easy to configurate, this tool is suitable for queries ‘select’, ‘update’ and ‘delete’. I think that is not suitable for a large number of requests, like 'insert'. -
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iTelliHashCSV
Cryptographic Hashing Application for CSV Files
iTelliHashCSV is a cryptographic “one-way” hashing application designed to securely protect sensitive or private information from disclosure. Proper use of this program allows organizations, businesses, and individuals (i.e., the data owners) to share complete/intact datasets containing sensitive data with others without actually disclosing the sensitive or private information. -
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XML2CSV-Generic-Converter
Flatten XML into CSV to suit your mood
Java XML to CSV (XML2CSV) generic conversion facility. Flattens one or more similar XML files into CSV projections. I made it in order to extract data from big XML files and gather them in files more easily opened with a spreadsheet because I didn't find anything adapted to my needs over the Internet when I needed to (Java + truly generic + self-contained algorithm + Unix like command line options + efficiency). -
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CSV / SAV files to Excel
Helps translate SAV / CSV data into usable Excel data
You have been struggling with SPSS databases when you needed to use excel? Well, this file (or the VBA module attached to it) will help you: you paste your CVS file format into one sheet, and the bulky strings will all your values will gently be split into one value per column by a custom excel function, The function takes into account that some values might be strings with comas that should not be split into different variables. The custom function should be usable for other types of files, it basically disaggregare a string into values separated by a standard character (by default the coma, but can be changed) and ignores separation characters that are within "string identifier" characters (by default the " ). ... -
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10
Database to CSV
"Database to CSV" project stores/loads data between database and CSVs
...Each table data is stored in a separate CSV file. It also allows to load data from CSV files into the database. Program can be run from UI or from command line. There's one more advanced feature which allows merging of data from CSV file to Database. It is only available from command line. (It will take foreign keys and unique keys into consideration and then try to insert data with minimum change as possible). Note: 1) If tables do not exist, this program will not automatically create table while loading data from CSV. -
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py-collectd-csv
A python module and scripts for fetching specific CollectD CSV data.
...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. -
12
FigertyContacts
Easily list all of your contacts in one place.
Easily list all of your contacts in one place. Ideal for club members etc. You can also export them as CSV to open and print in Excel. This is the free Open Source version. The premium version, which has lots more features etc, will be released soon. -
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SendEngine XML
XML sendengine UTF8 in different formats Batchfunction
- Easy XML/SOAP sending for implementation tests - Batch preview function - Monitoring feature preview - Support different WEB services in one application Installer is currently not set. But you can use the Windows Application control to deinstall the Software. The basefolder is located at \Users\<Username>\SendEngine - this Folder will not be deleted after Deinstallation of the sofware. Starting SendEngine first create a WebService Folder. This service may contain multible requests. ... -
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transference
A simple java app to reformat text from one specific format to another
A simple java app to reformat text from one specific format to another specific format. -
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A script written in pure PHP that can easily generate dynamic surveys based off of included template CSV (comma separated value) files. Setting up the script is as simple as editing the template file and transferring the directory to a server.
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To switch historical data quotes, from a format to a other one. For example to move historical data quotes from MetaTrader4 to NinjaTrader. Or to move historical data quotes from NinjaTrader to MetaTrader4 .
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Easy to use ready to go CSV File Reading utility. Read One or Multiple files into a RecordManager, quick access to the file with segmentation into Fields and Records. Merge Multiple CSV files in one. Listener to CSV Files.
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ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are: 1. object design 2. portability (Linux and Windows support at least) 3. high performance 4. support for common data file formats, like CSV, ARFF (Weka), etc.
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