Stream HTTP Sniffer vs ExploreRL

Stream HTTP Packet Capture Tool is a mobile HTTP/HTTPS packet capture and network debugging tool. It is used for local packet capture on the client side, intended solely for local network debugging by QA and development teams. You can capture and view all HTTP/HTTPS requests and responses on your device without connecting to a computer, making it easy to debug application network issues. 1. Capture HTTP & HTTPS requests, with HTTPS requests requiring the configuration of a CA certificate. 2. Access capture history to preview request bodies and response bodies, currently supporting text, JSON, files, and forms. 3. Domain Filtering: Intercept only the traffic you need, avoiding interference with other applications. 4. Request Rewriting: Supports redirection and replacement of request or response messages, and modifications based on regular expressions. 5. Request Blocking: Block requests based on URLs to prevent them from being sent to the server. 6. Scripting: Write JavaScript scripts to handle requests or responses. 7. Search: Search requests based on keywords, response types, and various conditions. Before you start using the tool, please read the following: 1. The target audience for Stream HTTP Packet Capture Tool includes front-end developers, client developers, back-end developers, DevOps engineers, QA engineers, and general users with some network analysis skills. 2. The sole purpose of Stream HTTP Packet Capture Tool is network debugging, and it has no other intended purposes. Additionally, enabling Stream requires your authorization for VPN permissions. 3. Stream HTTP Packet Capture Tool does not upload any user data. Please use it with confidence, and we hope our trusted users will share it with industry professionals. If you do not agree with the above purposes, lack network analysis skills, or inherently distrust third-party apps with sensitive data, we recommend you carefully consider before downloading.

Train, visualize, and experiment with Reinforcement Learning algorithms entirely on-device with ExploreRL. Built with MLX, ExploreRL provides an interactive sandbox to test various environments and algorithms with different hyperparameters to observe how RL agents learn through trial and error. LEARN BY DOING Train agents on classic adapted environments and observe learning in real time. Watch values grow, track reward curves, and develop intuition for how different algorithms and hyperparameters affect performance. Read and learn about reinforcement learning concepts in the documentation. ALGORITHMS Four common implementations: - Q-Learning - SARSA - Deep Q-Network (DQN) for discrete action spaces - Soft Actor-Critic (SAC) for continuous control INCLUDED ENVIRONMENTS Adapted from classic standards: Toy Text: Frozen Lake, Blackjack, Taxi, Cliff Walking Classic Control: CartPole, Mountain Car, Mountain Car Continuous, Acrobot, Pendulum Box2D: Lunar Lander, Lunar Lander Continuous, Car Racing, Car Racing Discrete FEATURES - Environment-specific settings - Real-time training metrics and reward visualization - Configurable hyperparameters: learning rate, discount factor, epsilon decay, batch size - Agent library with save, load, duplicate, and export functionality - Evaluation mode to test trained agents without further training - Educational documentation covering RL concepts, neural networks, and algorithms - Custom seed for reproducibility Note: Training performance will vary by device. Devices with newer hardware and more memory will have a better experience.