AI-Quant Studio vs. Pine Script vs. Python vs. TFLearn Comparison Chart

Pine Script® is TradingView’s programming language. It allows traders to create their own trading tools and run them on our servers. We designed Pine Script® as a lightweight, yet powerful, language for developing indicators and strategies that you can then backtest. Most of TradingView’s built-in indicators are written in Pine Script®, and our thriving community of Pine Script® programmers has published more than 100,000 community scripts. It’s our explicit goal to keep Pine Script® accessible and easy to understand for the broadest possible audience. Pine Script® is cloud-based and therefore different from client-side programming languages. While we likely won’t develop Pine Script® into a full-fledged language, we do constantly improve it and are always happy to consider requests for new features. Because each script uses computational resources in the cloud, we must impose limits in order to share these resources fairly among our users.

TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorial and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, metrics. Full transparency over Tensorflow. All functions are built over tensors and can be used independently of TFLearn. Powerful helper functions to train any TensorFlow graph, with support of multiple inputs, outputs, and optimizers. Easy and beautiful graph visualization, with details about weights, gradients, activations and more. The high-level API currently supports most of the recent deep learning models, such as Convolutions, LSTM, BiRNN, BatchNorm, PReLU, Residual networks, Generative networks.