Search Results for "data"
Sort By:
Showing 155 open source projects for "data"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
1
Zipkin
Distributed tracing system to gather timing data
Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed. ... -
2
JupyterLab
JupyterLab computational environment
...Documents and activities integrate with each other, enabling new workflows for interactive computing. JupyterLab also offers a unified model for viewing and handling data formats. JupyterLab understands many file formats (images, CSV, JSON, Markdown, PDF, Vega, Vega-Lite, etc.) and can also display rich kernel output in these formats. See File and Output Formats for more information. To navigate the user interface, JupyterLab offers customizable keyboard shortcuts and the ability to use key maps from vim, emacs, and Sublime Text in the text editor. -
3
Kraken
P2P Docker registry capable of distributing TBs of data in seconds
...Kraken is capable of distributing Docker images at > 50% of max download the speed limit on every host. Cluster size and image size do not have a significant impact on download speed. Support uploader authentication and data integrity protection through TLS. Other than pluggable storage, Kraken only has an optional dependency on DNS. -
4
Software to support the development of distributed data acquisition and analysis systems, used primarily in the implementation of instrumentation for pulsar astronomy.
-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
DelphiWebStart (DWS) is an Application Loader with TCP Sockets based on a ThinClient first spread over the Web, VPN or Intranet. So a user can download data (exes, maps, files) from a list and start it. DWS supports OpenSSL including a PKI HTTPS-Server.
-
6
UNICORE
UNiform Interface to COmputing and data REsources
UNICORE is a software suite for building federated systems, providing secure and seamless access to heterogeneous resource such as compute clusters and file systems. UNICORE deals with authentication, user mapping and authorization, and provides a comprehensive set of RESTful APIs for HPC access and workflows. Contributors: visit https://github.com/UNICORE-EU -
7
Alluxio
Open Source Data Orchestration for the Cloud
Alluxio is the world’s first open source data orchestration technology for analytics and AI for the cloud. It bridges the gap between computation frameworks and storage systems, bringing data from the storage tier closer to the data driven applications. This enables applications to connect to numerous storage systems through a common interface. It makes data local, more accessible and as elastic as compute. -
8
OpenHMS brands a collection of projects and many subprojects developed by Health Market Science. This is a robust collection of development libraries, APIs, and tools oriented around data manipulation and professional software development.
-
9
openQRM - Cloud Computing Platform
Get latest Edition here: http://www.openqrm-enterprise.com.
openQRM is a web-based open source datacenter management and hybrid cloud computing platform that integrates flexibly with existing components in enterprise data centers. Releases available at https://github.com/openQRM/openqrm-community. Please visit http://www.openqrm-enterprise.com for latest 5.3 free Community Release. Includes important security updates, bugfixes and enhancements especially for KVM and Cloud plugin. openQRM abstracts Virtualization and supports the following virtualization technologies: KVM, XEN, Citrix XenServer, VMWare ESX & LXC. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
TurboVNC
High-speed, 3D-friendly, TightVNC-compatible remote desktop software
TurboVNC is a high-performance, enterprise-quality version of VNC based on TightVNC, TigerVNC, and X.org. It contains a variant of Tight encoding that is tuned for maximum performance and compression with 3D applications (VirtualGL), video, and other image-intensive workloads. TurboVNC, in combination with VirtualGL, provides a complete solution for remotely displaying 3D applications with interactive performance. TurboVNC's high-speed encoding methods have been adopted by TigerVNC and... -
11
OpenDDS
OpenDDS is open source publish/subscribe middleware
OpenDDS is an open source implementation of the Object Management Group (OMG) Data Distribution Service (DDS), providing a publish/subscribe middleware solution for real-time distributed systems. OpenDDS includes development and run-time tools. Full product information, source code, documentation, build instructions, and license information are available from http://www.opendds.org. Commercial consulting, support, and training for OpenDDS are available. -
12
CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable source code with efficient fault-tolerant execution of ATS, C/C++, Erlang/Elixir, Go, Haskell, Java, JavaScript/node.js, OCaml, Perl, PHP, Python, Ruby, or Rust services. The bare essentials for efficient fault-tolerant processing on a cloud!
-
13
NuPIC
Numenta platform for intelligent computing
...At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. If you want to build the dependent nupic.bindings from source, you should build and install from nupic.core prior to installing nupic (since a PyPI release will be installed if nupic.bindings isn't yet installed). To install from local source code, run from the repository root. ... -
14
dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
15
Talend Spatial Module (aka Spatial Data Integrator or SDI) is an ETL tool for geospatial. Based on Talend Open Studio, input, output and transform geocomponents are available. IO components read/write GIS formats(eg.PostGIS, GeoRSS). Transformers all
-
16
ATTENTION: For more info and latest version, refer to https://github.com/estigma88/jdhtuq. jDHTUQ is a peer-to-peer DHT system based in Chord algorithm, but built like API to generalize the implementation of peer-to-peer DHT systems. jDHTUQ have two fundamental services , put and get of resource.
-
17
JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
18
Open Event Machine
An event driven processing runtime for multicore
Deprecated - see new repository in GitHub instead: https://github.com/openeventmachine/em-odp Open Event Machine (OpenEM or EM) is an architectural abstraction and framework of an event driven multicore optimized processing concept originally developed for networking. It offers an easy programming concept for scalable and dynamically load balanced multicore data plane applications with a very low overhead run-to-completion principle. EM can run on bare metal for best performance or under an operating system with special arrangements. This release of the Open Event Machine contains the EM API as well as an example implementation for Intel multicore CPUs. !!! NOTE !!! Release version numbering scheme changed: after v1.5 follows v1.1.0, where 1.1 reflects the used OpenEM API version. -
19
NetProg is an API in C language allowing an homogeneous programming of communicating applications on many operating systems. It covers all the need for applications that requires complex way of exchanging data in synchronous or asynchronous mode. Based on messages for exchanging data between clients and servers, it, moreover, access databases or files with the same message modelling.
-
20
GloVe
GloVe model for distributed word representation
...The demo.sh script downloads a small corpus, consisting of the first 100M characters of Wikipedia. It collects unigram counts, constructs and shuffles cooccurrence data, and trains a simple version of the GloVe model. It also runs a word analogy evaluation script in python to verify word vector quality. -
21
============================= THIS CODE IS DEPRECATED ============================= For updated information about MTSA visit: http://mtsa.dc.uba.ar
-
22
xSTreamC is a streaming language developed by STMicroelectronics to support the mapping of data intensive streaming applications on distributed multiprocessor SoCs. A compiler and a simulation library are provided.
-
23
FastDHT is high performance DHT ( distributed hash table ) which based key value pairs. Storage use Berkeley DB, and network IO use libevent. It can store mass key value pairs such as filename mapping, session data and user related data.
-
24
-
25
TeleScope
XML Data Stream Broker/Replicator
...TeleScope provides the remote cli interface to login (in cisco fashion via telnet) and change/reset the query transaction on the current stream on the fly in real time. It also gives data query and subscribers statistics via a separate status port.