New to Google Cloud? Get $300 in free credit to explore Compute Engine, BigQuery, Cloud Run, Vertex AI, and 150+ other products.
Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query exabytes in BigQuery, or build AI apps with Vertex AI and Gemini. Once your credits are used, keep building with 20+ products with free monthly usage, including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. Sign up to start building right away.
Start Free Trial
99.99% Uptime for MySQL and PostgreSQL on Google Cloud
Enterprise Plus edition delivers sub-second maintenance downtime and 2x read/write performance. Built for critical apps.
Cloud SQL Enterprise Plus gives you a 99.99% availability SLA with near-zero downtime maintenance—typically under 10 seconds. Get 2x better read/write performance, intelligent data caching, and 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server with built-in vector search for gen AI apps. New customers get $300 in free credit.
Data mines the voting record and other actions of Members of the UK Parliament. Extracts information from the parliament website and stores it in a database. Provides tools to analyse the information, producing statistics and tables about the MPs.
OpenDWS is a hobby project to create a datawarehousing suite that: - Can work on different OS - Federates databases - Can run Data analyses using plugins on different databases This project is programmed in Python Language.
Migrate from Snowflake, Databricks, or Redshift with free migration tools. Exabyte scale without the Exabyte price.
BigQuery delivers up to 54% lower TCO than cloud alternatives. Migrate from legacy or competing warehouses using free BigQuery Migration Service with automated SQL translation. Get serverless scale with no infrastructure to manage, compressed storage, and flexible pricing—pay per query or commit for deeper discounts. New customers get $300 in free credit.
RefineHMM refines an original hidden Markov model (HMM) to find an optimal fit
against the evolutionary group that the HMM models, and it does this using
through iterative database searches and incremental subsequent adaptation of
the seed set.
A Python environment for large and sparse linear and nonlinear optimization using intuitive interfaces to linear algebra tools and subproblem solvers written in low-level languages. It provides building blocks to experiment with new ideas and algorithms.
This project includes a set of tools and guidelines designed for rapid production of large-scale embedded systems projects. The tools enable quick generation of reusable, reconfigurable hardware, using a user-specified hardware description language.
The Virtual Collaboratory provides mechanisms for users to exchange information, data, on-line resources, and ideas. In a collaboratory, individuals from different locations are able to work together using VoIP, document exchange and other features
In knight tour (kt) problem every chess square is visited exactly once using knight moves. In this game some knight moves already made and we have an incomplete kt. The object is to complete the kt by guessing missing moves.
Host and run your applications without the need to manage infrastructure. Scales up from and down to zero automatically.
Cloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
Software Defined Radio Transceiver project is written in Python while using GNU Radio and USRP. The goal is to create a software HF transceiver with various modes. Go here for more info: http://apps.sourceforge.net/mediawiki/sdr/index.php?title=Main_Page
A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
An easy way to integrate any function. Uses sympy as a backend. Currently text-mode only, but the goal is to create a very nice, simple, graphical interface using wxPython or PyGTK.
PyMemorial is a tool to generate cadastral survey documentation using brazilian's INCRA standards.
Completely written in Python it aims to be a simple way to produce all documents following the most current legislation.
A cross-platform aplication to explore online free maps (OpenStreetMap). Build with python and pygame, full immersive environnement. Actually only source code, require pygame.
BASILISK is a probabilistic model of the conformational space of amino acid side chains in proteins. Unlike rotamer libraries, BASILISK models the chi angles in continuous space, including the influence of the protein's backbone.
Pypar is an efficient but easy-to-use module that allows programs written in Python to run in parallel on multiple processors and communicate using MPI. Pypar development has moved to http://code.google.com/p/pypar/
Create geographics maps from data in table format. Serve map creation requests using a XML-RPC server. - Requires: mapnik, swftools, MySQL server and MySQLdb python module.
ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.
Use SASSIE to generate and manipulate large numbers of molecular structures and then calculate the SAXS, SANS, and neutron reflectivity profiles from atomistic structures. Use for intrinsically disordered proteins. We need alpha-testers and developers.
Use of USB to Serial and USB to Parallel BUS CONVERTERS available from ElectronicBRICKS at http://electronicbricks.blogspot.com/search/label/usb-Brick.