Marketing automation for any business | ActiveCampaign
Your team of AI agents handles email, SMS, WhatsApp and more for you
Active Intelligence revolutionizes how you work. You guide direction while AI handles execution, acts on insights, and shows you the path forward. It's how marketing should be.
Learn More
No-Nonsense Code-to-Cloud Security for Devs | Aikido
Connect your GitHub, GitLab, Bitbucket or Azure DevOps account to start scanning your repos for free.
Aikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable sourcecode 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!
...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 sourcecode, run from the repository root. We plan to do minor releases only, and limit changes in NuPIC and NuPIC Core to features needed to support ongoing research.
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll...
DISTributed Adaptable Executable (DISTae) is a software layer that allows the portability of programs among different heterogeneous computing units and run the different parts of the code simultaneously in a distributed and heterogeneous environment.
ActiveGrid is an Enterprise Web 2.0 solution that allows the composition of code-free applications that comply with corporate IT standards. Technologies include Python, Java, XForm, Xpath, WSDL, CSS, XML Schema (XSD), XACML, and BPEL.
Poor Man's HPC is a framework that allows distributing and running code on a server farm. pmHPC is a scaled down and simplified version of distributed computing projects such as SETI, so is a perfect fit for enthusiasts and universities.
The CCM Tools are CASE tools used for generating CORBA components, test components, and test programs based on source IDL files. Various target languages can be generated. Scripting language wrappers can also be generated to enable rapid prototyping.
Jscrambler offers an exclusive blend of cutting-edge first-party JavaScript obfuscation and state-of-the-art third-party tag protection.
Jscrambler is the leader in Client-Side Protection and Compliance. We were the first to merge advanced polymorphic JavaScript obfuscation with fine-grained third-party tag protection in a unified Client-Side Protection and Compliance Platform. Our integrated solution ensures a robust defense against current and emerging client-side cyber threats, data leaks, and IP theft, empowering software development and digital teams to innovate securely. With Jscrambler, businesses adopt a unified, future-proof client-side security policy all while achieving compliance with emerging security standards including PCI DSS v4.0. Trusted by digital leaders worldwide, Jscrambler gives businesses the freedom to innovate securely.
Multi Agent based distributed application. The code can be processed over multiple common machines with fault-tolerance. It is designed to distributively run any Python's script, which can be applied to a given input data set.