Search Results for "data mapping" - Page 22
Sort By:
Showing 826 open source projects for "data mapping"
View related business solutions-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
1
Pace & Place is an application for managing and visualizing GPS data and sports training data. It empowers the user to track training events and combine them with geographic data. Map, waypoint, track visualizations and geo-referencing of photos.
-
2
GISp - A set of classes and utilities for managing GIS (Geographical Information Systems) data in PHP applications.
-
3
Spreadsheet-to-RDF wrapper capable of transforming spreadsheets to arbitrary RDF graphs; supports mapping language with powerful formula expressions as you know from Excel, local/remote Excel/ODF/CSV, SPARQL service - source available at https://github.com/theandyl/xlwrap
-
4
Tentacles is a Object-Relational Mapping (ORM) written in Python. It's main concept is to manipulate stored datas as you do for python data structures.
-
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
5
REX allows you to create REST interfaces by directly connecting HTTP Requests to SQL/XML queries without programming.
-
6
-
7
This program gets data from a GPS, parses it, and calculate things such as acceleration and distance traveled. That is then saved it to a CSV file. Also shows data in real time and has a speedometer to show your speed in real time (in KM/h or MPH).
-
8
CloudBurst is a parallel read-mapping algorithm optimized for mapping next-generation sequence data to the human genome and other reference genomes, for use in a variety of biological analyses including SNP discovery, genotyping, and personal genomics.
-
9
Object Persistence Libraries and More for php. framework to develop rapidly object-oriented applications, Kobject Classes provides a easy way to implement a data model within the MVC model like ORM do.
-
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
10
GPSDproxy is a small program which reads GPS data from a running gpsd process (http://gpsd.berlios.de/) and forwards it to a remote server via an UDP connection. GPSDproxy is intended to be run on GPS enabled mobile devices.
-
11
Liegkat-Archiv delivers ALK converters for spatial data formats (EDBS, BGRUND, SQD, DFK, HK) and coordinate systems used in German cadastral agencies before ALKIS into KML and JML. It delivers Python packages and XSL files.
-
12
GIMED is a metadata editor for geospatial data. It is focused on providing compliant metadata with the ISO19139 standard and INSPIRE directive.
-
13
Apatar is an open source Extract, Transform, and Load (ETL) project. Modular architecture delivers 1. Visual job designer/mapping 2. Connectivity to all major data sources 3. Flexible Deployment Options (GUI, or server engine with JVM, or embedded).
-
14
A simple and still alpha Python script to extract features out of an OpenStreetMap (OSM) file into basic Keyhole markup language (KML)
-
15
Please note: there is a new version of this project here: http://code.google.com/p/repastcity/ I'll keep this project alive but it wont be updated. A simple Repast Simphony project that demonstrates how to create small city using real GIS data. The city has houses and some agents who travel around the road network from house to house. Not affiliated with Repast Simphony.
-
16
Open Source Routing Machine computes shortest paths in a graph. It was designed to run well with map data from the Openstreetmap Project.
-
17
Aptify is a PHP Framework comprising of several different open source scripts that combined create a very versatile system. It is a new Hybrid MVC Framework which leverages the power of the browser and the data of the server.
-
18
Gosmore is an OpenStreetMap navigation application. It can display the map in 2D and 3D. It also provides searching and turn-by-turn routing capabilities. All the data is stored offline in it's own binary format.
-
19
B-Tree implemented in Common Lisp. Stores key/value pairs onto disk based data structure. Current implementation has been tested with SBCL. Project was originally at alien-consader.org but is now made available at SourceForge.
-
20
MockSqlBuilder uses mock objects and method interception to build SQL queries in an OOP fashion. Instead of strings (like HQL or plain text), MockSqlBuilder uses the data object's and their methods to record and construct a query.
-
21
GISpatialNet is a Java-based tool for mapping network data (nodes and edges between them) to spatial coordinates; reformatting network and spatial data together; and calculating spatial network measures. Install by saving to c:\ drive and typing the following in a command line: java -jar c:\GISpatialNet-0.9b.jar
-
22
-
23
InterSystems Jalapeño (JAva LAnguage PErsistence with NO mapping) technology lets Java programmers define data classes and build applications within a Java development environment while persisting application data in Cache DBMS.
-
24
Java-XML Binder (JXB) is a lightweight and easy to use Java-to-XML and XML-to-Java Mapping Tool. Mapping Rules should be configured through Java Annotations, you do not need any configuration files. JXB supports Objects of any complexity.
-
25
Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.
