AppSignal installs in minutes and auto-configures dashboards, alerts, and error tracking.
Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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Stop Storing Third-Party Tokens in Your Database
Auth0 Token Vault handles secure token storage, exchange, and refresh for external providers so you don't have to build it yourself.
Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
GridSim allows modeling and simulation of entities in parallel and distributed computing systems such as users, applications, resources, and resource brokers/schedulers for design and evaluation of scheduling algorithms. http://www.gridbus.org/gridsim
RT-BOINC stands for a Real-Time BOINC. It was designed for managing highly-interactive, short-term, and massively-parallel real-time applications.
We implemented RT-BOINC on top of the recent BOINC server source codes.
Simdist lets you harness the power of cluster computing without any knowledge of parallel libraries such as MPI, and with no restrictions on programming language. Primarily targeted at evolutionary computing and similar master-slave configurations.
Remote Services for OSGi provides a transparent way to access services on remote OSGi platforms. Additionally, it can interact with the EventAdmin service to deliver events between distributed frameworks.
SimKernel controls parameter scans and iterations for any given C++ code / scientific simulation. Parameters, iteration ranges, settings and dependencies are specified in Mathematica syntax. Parallel processing of parameter scanning via MPI.
SimIS presents an agent-based simulation environment from multiagent research to simulate Internet-of-Services systems. The simulation environment bases on Repast Simphony 1.2 (http://repast.sourceforge.net/).
Distributed Parallel Programming for Python! This package builds on traditional Python by enabling users to write distributed, parallel programs based on MPI message passing primitives. General python objects can be messaged between processors. Ru
JAva DIstributed Framework provides a secure and flexible Framework for distributed grid and volunteer computing applications (separate client & server Framework). For more informations take a look at the project page http://jadif.sourceforge.net
Ex-Crawler is divided into 3 subprojects (Crawler Daemon, distributed gui Client, (web) search engine) which together provide a flexible and powerful search engine supporting distributed computing. More informations: http://ex-crawler.sourceforge.net
libMAGE (Multi-Agent Grid Engine) is a C++ library that provides basis for constructing distributed autonomic systems (running on grids and clusters), that are able to adapt to processor and memory load and node failures.
This modular software package forms an integration point for Grid/Cloud/Cluster products. If provides several adapters which can easily be used to build complete Services/integrate products. It enables federation between multiple sites.
easy fusion is a java-based framework that intends to automatically deploy and control information fusion systems (IFS) on distributed and dynamic resources.
AlacrityVM is a hypervisor based on the Linux KVM (http://linux-kvm.org) project which aims specifically for high Performance, targeting HPC and Real-Time computing in the data-center.
BSPonMPI is an implementation of the BSPlib standard on top of MPI. Both MPI and BSPlib are API's of communication routines meant for parallel computing, but BSPlib is easier to learn and its performance easier to predict.
The SPASE Registry Services is a metadata sharing system for Virtual Observatories. It is a collection of servlets that utilize SPASE compliant resource descriptions to provide access to both the metadata and data.
Parallelizable is a tiny framework in complement for java.util.conccurent api. Parallelizable is an abstract class to extend for making asynchronous parallel execution on a synchronous task. Very usefull if task often calls a very long process.
Numerical package Parallel EXECution. Using a numerical package like Octave, 'npexec' distribute computation of a math formula among various network elements, collecting result automatically. ->y=npexec('fft(x.^m)', 'm=-8:8','x=ARG');
Spyse is a software framework for building multi-agent systems. It allows Python developers to build distributed intelligent systems of multiple cooperative agents based on FIPA, OWL, SOA and many others. Spyse is designed for ease-of-use and fun.
DKU is an embedded parallel language, or "piggy-back" language that uses function calls to invoke the language's execution model. It tunes task-size to the hardware while hiding hardware details for high performance portability of parallel code.