Zipline Reloaded
github.comMaintain event-driven Python backtests with the Zipline research model
Maintain event-driven Python backtests with the Zipline research model
Develop Python strategies with graphical backtesting and market gateways
Assemble portfolio backtests from reusable Python rules
Connect financial data providers to Python and research applications
Composes Python components into retrieval, search, and agent pipelines for AI applications.
Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.
Manage and preview your dotfiles across Linux, macOS, and Windows machines.
Manipulate common colour representations with a small Python interface.
Choose scientific colour maps and inspect or adapt them in Python.
Use continuous and categorical colour maps in Python visualizations.
Turn repeatable operational procedures into jobs that run commands or workflows on selected nodes.
Build reproducible software environments and run packages temporarily with a functional package manager.
A database engine with an AQL query workflow for collections and connected data.
Replace text in files or streams with a compact, readable command-line syntax.
Jump to frequently used directories from the terminal with a smarter `cd` command.
Store and retrieve large-scale data with Apache's distributed, column-oriented Hadoop database.
Navigate files in a terminal with tabs, previews, multi-selection, and optional shell integration.
Edit source and configuration files directly in a terminal with a compact, keyboard-driven editor.
Keep multiple terminal programs in persistent sessions, windows, and panes.
Filter, extract, and transform JSON from the command line using a compact query language.
Python tools for inspecting and manipulating font files.
A project-based IDE for writing and running R-centered data work, with support for Python scripts and documents.
Rewrite Git history to remove paths, extract directories or apply custom filters.
Convert colour spaces and model perception-related transformations in Python.