Open Source Python Data Management Systems - Page 11

A 3D data visualization tool, specializing in the display of robotically collected point, range, and volumetric data. Provides a very flexible framework for different file formats and visualization parameters.

Drop is a graphical interface for the GPL project Wets (hosted in SourceForge). Wets is an ETL software.

Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular statistics in R. If you find errors, please report them. The project is still in development, so in the future you'll get updates.

Elementary is an open-source data observability solution for data & analytics engineers. Monitor your dbt project and data in minutes, and be the first to know of data issues. Gain immediate visibility, detect data issues, send actionable alerts, and understand the impact and root cause. Generate a data observability report, host it or share with your team. Monitoring of data quality metrics, freshness, volume and schema changes, including anomaly detection. Elementary data monitors are configured and executed like native tests in dbt your project. Uploading and modeling of dbt artifacts, run and test results to tables as part of your runs. Get informative notifications on data issues, schema changes, models and tests failures. Inspect upstream and downstream dependencies to understand impact and root cause of data issues.

During the past few years, whole exome sequencing has imposed itself for genetic research, largely due to its use for detection of causative mutations responsible for Mendelian disorders. As a consequence of their power and of the rapidly decreasing cost of these technologies, massive amount of exome sequencing data are generated and becoming available to a broadening community of scientists. However, these data remain difficult to analyze and interpret by the general scientific community, due to the limited bioinformatics resources that are currently freely available for their analysis and the partial information that they provide. Here, we present an interactive and free analysis package, ExAM, dedicated to whole exome sequencing data analysis. It is accessible to non-computer scientists and provides a complete set of information, as well as decision support to prioritize candidate disease causing variants.

ExpLab is a set of tools that supports the running, documentation and evaluation of computational experiments.

ATTENTION! ExpTools has been renamed to ExpLab To visit the new homepage click on "Home page".

Expert Baseball Skipper is a libre (as in free software) software used to manage a baseball team, whether it’s a real baseball team or fantasy. While still in its early stages, Expert Baseball Skipper is a modern take on LazyDogSoftware’s Baseball Memories (https://archive.org/details/tucows_247031_Baseball_Memories). Expert Baseball Skipper is actively being tested with the use of the most advanced baseball simulator on the web; https://www.franchiseball.com.

FEVal, the Finite Element Evaluator written in Python, provides easy conversion for many Finite Element data formats (both binary and ascii). Mesh modification is very easy. Values of model results can be accessed given coordinates in physical space.

Fandango, formerly and internally know as elcad. It is a python scripted 3d CAD application; the core is programmed on C++, and interface functions are exported to python to be used as building blocks for new commands.

An object-oriented partial differential equation (PDE) solver, written in Python, based on a standard finite volume approach and includes interface tracking algorithms. *WARNING* The project is no longer using Sourceforge to maintain its repository.

A user-friendly application to efficiently sort all types of files from a source folder into a destination folder based on a list of filenames provided in an Excel or CSV file.

File-Spector is a small, fast and easy to use binary file analyzer and Inspector. It allows the users to format a complete binary file structure and then use it to read any binary file that matches the specified format.

Flightdeck-UI is a project that utilizes the ideas from the design of aircraft controls and instruments for creating computer user interfaces, such as for monitoring.

Flow Investigation using N-Dimensions (FIND) is a program designed for analysis and visualization of Flow Cytometry data. FIND focuses specifically on automated population discovery (clustering) methods. The project targets both users and developers.

Graph and analyze Folding@Home team statistics over time.

Fondant is a modular, pipeline-based framework designed to simplify the preparation of large-scale datasets for training machine learning models, especially foundation models. It offers an end-to-end system for ingesting raw data, applying transformations, filtering, and formatting outputs—all while remaining scalable and traceable. Fondant is designed with reproducibility in mind and supports containerized steps using Docker, making it easy to share and reuse data processing components. It’s built for use in research and production, empowering data scientists to streamline dataset curation and preprocessing workflows efficiently.

Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than creating implementations from scratch, we draw from existing state-of-the-art libraries and build additional utilities around processing and featuring the data, optimizing and evaluating models, and scaling up to the cloud. The examples and best practices are provided as Python Jupyter notebooks and R markdown files and a library of utility functions.

FLAG was designed to simplify the process of log file analysis and forensic investigations. FLAG facilitates efficient analysis of large quantities of data within an interactive environment. PyFlag is the reimplementation of FLAG in Python.

This is a Fortran Module that merges the performance of the computation of the Fortran with the power of a Python Package called Matplotlib plot the data computed by your fortran code. It allows you to divide you data into groups of datafiles and each group is stored on its own directory. It allows you to create different types of plotting files such as, PNG file for each datafile and PDF and MPEG files for each group of datafiles. It works with FORMATTED and UNFORMATTED fortran datafiles. When you call the main subroutine in this module which is called FORTPLOT, it creates a python coded file that you can execute it at any time to get the plots and take a decision about continue the run or halt it. So, with multiple nodes machine you can assign a node for running the python coded file created by the Fortran code to get you data plotted.

GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?attredirects=0&d=1 http://sourceforge.net/projects/geoms2/files/Mining.7z/download

Tool for annotating (bike race) videos with data from GPS devices to display time, distance, speed, power, HR, CAD, elevation, laps. Outputs a series of SVG files importable as image sequence into the OpenShot Video editor as overplayed video track.

GRINEdit is a graph, relation, interaction, network editor. The graph visualizer 'graphviz' is very popular but it is not interactive. The project aims to make interactive graphviz.