Search Results for "python data analysis"

The PAMGUARD project develops software to help detect, locate and classify marine mammals using Passive Acoustic Monitoring. This project is being migrated to github at https://github.com/PAMGuard. Please go there for the latest updates. thank you sourceforge for hosting us for all these years.

Piko solar inverter interface. Get online real time data and status. Get also history data. Database management of data. Exports, graphs, ... Manage data and stats using a SQLite or MySQL database. Third party intergration. See the Wiki home page for more informations.

The Hydroponic Automation Platform Initiative (HAPI) develops and provides hardware and software components for automating food production using hydroponic, aquaponics, and precision agriculture techniques. High-yield production in urban settings is one of the primary goals. Artifacts include hardware design (mainly Arduino-based), firmware, management software and reporting modules.

EDAS2 is a web-based environmental quality data management and decision support framework

BioMa is a specimen based Biodiversity database Manager. It is designed to store, organize, and manipulate biodiversity-related scientific data, either for the purposes of museums, scientific collections, or research projects.

birdweights is a a package of scripts to analyze data from an automated system for the measurement of mass and identification of birds at perches.

MBAS -- Macro-Biological Analysis System -- provides a set of interoperable tools for aid in the analysis of biological data. The backing database is currently PostgreSQL and the primary language is C, though some data entry tools are written in Java.

GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data.

Obs-dm aims to provide a robust and reliable way to collect, analyze, and share observational data. It is being designed for extendability into other areas such as fisheries and habitat science.