tuneta VS easyopt

Compare tuneta vs easyopt and see what are their differences.

tuneta

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models (by jmrichardson)
technical-analysis hyperparameter-optimization Machine Learning technical-indicators optuna Finance optimize Trading Stocks stock-market trading-systems Tune Correlation pareto-front
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easyopt

zero-code hyperparameters optimization framework (by galatolofederico)
hyperparameter-optimization hyperparameter-tuning Machine Learning optuna
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tuneta easyopt
12 2
377 10
- -
4.6 5.0
7 months ago 3 months ago
Python Python
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

tuneta

Posts with mentions or reviews of tuneta. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-21.

easyopt

Posts with mentions or reviews of easyopt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-16.

What are some alternatives?

When comparing tuneta and easyopt you can also consider the following projects:

pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

evalml - EvalML is an AutoML library written in python.

TradingView-Machine-Learning-GUI - Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.

AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

tiingo-python - Python client for interacting with the Tiingo Financial Data API (stock ticker and news data)

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

LiuAlgoTrader - Framework for algorithmic trading

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

optuna - A hyperparameter optimization framework

tradezero-api - A package for executing orders and retrieving data through the TradeZero web platform

tuneta vs pandas-ta easyopt vs evalml tuneta vs TradingView-Machine-Learning-GUI easyopt vs AgileRL tuneta vs tiingo-python easyopt vs nni tuneta vs LiuAlgoTrader easyopt vs wandb tuneta vs bulbea easyopt vs optuna tuneta vs tradezero-api tuneta vs optuna