DataHarvester software enables reading and writing of various file formats efficiently. The tool is compact in size and is helpful in data handling.
DataHarvester is a powerful software tool designed for processing different file formats such as ROOT, HBook, HDF5, XML, Sqlite3, and a gzipped text file format. The software employs a plugin mechanism to optimize its file-specific backends from the main library. All data are internally represented as heterogenous hierarchic tuples, meaning there’s no other data structure that exists in the application.
The installation process for the software is pretty straightforward. To compile, you should navigate to the package's source code directory and run the `./configure` script to configure the package for your system. During the compilation process, the `configure` script will check for specific features required for proper installation. Once done, you can proceed to compile the package by typing `make`. For self-testing, you can type `make check`, and for installation, you can install the programs, documents, and data files by typing `make install`. You can remove program binaries and object files from the source code directory by typing `make clean` or remove the files related to `configure` by typing `make distclean`.
The latest release of DataHarvester features Filters and Manipulators that will help you optimize your output based on predefined parameters. Overall, DataHarvester is an efficient software tool that maximizes file processing and manipulation, making it highly recommendable for data scientists.
The installation process for the software is pretty straightforward. To compile, you should navigate to the package's source code directory and run the `./configure` script to configure the package for your system. During the compilation process, the `configure` script will check for specific features required for proper installation. Once done, you can proceed to compile the package by typing `make`. For self-testing, you can type `make check`, and for installation, you can install the programs, documents, and data files by typing `make install`. You can remove program binaries and object files from the source code directory by typing `make clean` or remove the files related to `configure` by typing `make distclean`.
The latest release of DataHarvester features Filters and Manipulators that will help you optimize your output based on predefined parameters. Overall, DataHarvester is an efficient software tool that maximizes file processing and manipulation, making it highly recommendable for data scientists.
What's New
Version 0.3.2: N/A