draftfast | optimize DraftKings and FanDuel lineup construction

by BenBrostoff Python Version: 3.12.5 License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | draftfast Summary

draftfast is a Python library. draftfast has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install draftfast' or download it from GitHub, PyPI.

An incredibly powerful tool that automates and optimizes lineup building, allowing you to enter thousands of lineups in any DraftKings or FanDuel contest in the time it takes you to grab a coffee.

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Quality

Security

License

Reuse

Support

draftfast has a low active ecosystem.

It has 217 star(s) with 101 fork(s). There are 28 watchers for this library.

There were 10 major release(s) in the last 12 months.

There are 20 open issues and 84 have been closed. On average issues are closed in 146 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of draftfast is 3.12.5

Quality

draftfast has 0 bugs and 0 code smells.

Security

draftfast has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

draftfast code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

draftfast does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

draftfast releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

draftfast saves you 2217 person hours of effort in developing the same functionality from scratch.

It has 5121 lines of code, 311 functions and 50 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed draftfast and discovered the below as its top functions. This is intended to give you an instant insight into draftfast implemented functionality, and help decide if they suit your requirements.

Run multiple roster
Run Booster
Calculate the positional argument for each player
Calculate exposure level
Determine which conditions should be met
Generate a list of players from a csv file
Generate a new Player object from a row
Parses a FD - DFA row
Generate a dictionary of projections
Runs a roster
Optimize the objective function
Compute the solver
Solves the solver
Optimize a list of players
Creates a filter function that returns a filter function that ensures that the player pool is above the given profile
Return a list of NFL positions
Return a unique identifier
Return a list of position positions and FLEx positions
Banned position lock group
Lock the position lock group
Write roster to file
Create a boost Booster for a player
Write a csv file to a csv file
Map the given PID file
Map pids from a file
Check if the player is locked
Return whether the player is banned

Get all kandi verified functions for this library.

draftfast Key Features

No Key Features are available at this moment for draftfast.

draftfast Examples and Code Snippets

No Code Snippets are available at this moment for draftfast.

Community Discussions

No Community Discussions are available at this moment for draftfast.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install draftfast

You can install using 'pip install draftfast' or download it from GitHub, PyPI.
You can use draftfast like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

DFS optimization is only one part of a sustainable strategy. Long-term DFS winners have the best:. DraftFast provides support and consulting services that can help with all of these. Let's get in touch today.

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