With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You 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.
Try free now
Stop vibe-debugging.
Plug Claude into your app's actual errors.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
This project is no longer supported by its creators. salgo is a C framework you can use to implement sorting algorithms. It provides different ways of filling an array and then sorting this in ascending or descending order (a stop watch is included).
Wallaroo is an infinite precision constraint solving and optimization library for linear constraints over the rational numbers. It handles equalities (=), inequalities (<=, >=), strict inequalities (<, >), and disequalities (!=).
JPortForwarder Project
JPortForwarder is a multithreaded TCP Port Forwarder application.
The following feature have been developed:
- Generic TCP Port Forwarging. Listen for a port and forward to an ip:port.
- Multihoming TCP Port Forwarding.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Neural network libraries in many different languages compatible with each other, such that neural networks can be trained on one platform and utilised on another.
C++ implementation of Hash Array Mapped Trie (HAMT). Class design follows STL principles and aims to meet the requirements and to provide the guarantees of std::hash_map.
User friendly application with graphical interface, for creating and training
a multi-layer feed-forward neural-networks. The application is intended for systems of GRID computation.
DBI++ is a C++ port of the famous Perl DBI module.
Currently it just supports MySQL, but the goal is, to extend it to a driver-independent interface.
License is LGPL, so it can be used in closed-source-software, too.
Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure
Native application identity and user-based security for your Azure cloud
Gain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
RL++ is an easy to use modular open source library for Reinforcement Learning written in C++. It includes learning algorithms (TD, Sarsa, Q) as well as the implementation of value function representations (LookupTable, TileCoding, Neuronal Network).
It moves by itself inside networks like virus infection & plagues, it is being written to solve computer virus problem drastically and responsibly. It is legal, free and open for public domain to improve W3 ICT Security.
A standalone, STL interface to the Torch library's Support Vector Machine (SVM). It supports single or multiclass (one vs. all) classification using dot product, polynomial, Gaussian and sigmoid kernels.
This is a library for an extensible framework for range encoding. The framework is an extensible object-based state machine where probabilities are chosen based on the current frame the machine is in.
The SBMLevolver is an evolutionary algorithm package that creates SBML models with user-specified properties and behaviour from a given set of building blocks. Applications lie in network reconstruction and synthetic biology.
The goal of an Open Math Library is to provide the basic set of math-related classes and functions for 3d engine development. Currently the library has implementations for vectors (2 to 4 dimensional), matrices, planes and quaternions.
Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
It's an implementation of the A* algorithm together with a grid processor which pre-processes 8-bit bpm graphic files using a variable resolution and an SDL user interface to test it.
Provides fast lookup for a Subject Based messaging product using a trie. It allows for configurable wildcard characters to replace a single or multiple subject field(s) (A.B.*.D.>). Insertion in to the tree returns a unique handle for subsequent deletion