Skip to main content

ASCII-ART Data Analysis Pipeline Manager

Project description

pyleaf is the Python implementation of the Leaf system. The Leaf system is a pipeline (AKA data flow or data analysis protocol) management system that allows to design the pipeline as an ASCII-art diagram through a language called LGL (Leaf Graph Language, see https://github.com/franapoli/lglc).

Main Leaf features include:

  • Thin, lightweight, code-independent Abstraction Layer.

  • Data flow graph embedded directly into Python source code.

  • Automatic creation and management of variables associated with node outputs.

  • Automatic persistent storage and retrieval of node outputs.

  • Session persistence (i.e. run half project, reboot machine, automatically start again from the last processed node).

  • Lazy builds (avoid running nodes that are not necessary for the build of a requested resource).

  • Multiprocessing (independent nodes run in parallel).

  • Enforcement of code version consistency between nodes (i.e. automatically reprocess all nodes deriving from node A if node A is found to be changed).

  • Automatic time and space requirements statistics.

  • Automatic publishing (producing hypertext with visual representation of the protocol, processing statistics, link to node outputs, node documentation and source code).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyleaf-1.0.1.1.tar.gz (756.7 kB view details)

Uploaded Source

File details

Details for the file pyleaf-1.0.1.1.tar.gz.

File metadata

  • Download URL: pyleaf-1.0.1.1.tar.gz
  • Upload date:
  • Size: 756.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyleaf-1.0.1.1.tar.gz
Algorithm Hash digest
SHA256 1ff361391de35f43227b9b78e1c28881e6af37adcf4060c73eadf4752685a3a5
MD5 03bbae615eb88834f915e1b0ecccfc35
BLAKE2b-256 7bd4766596601aa1dcb97984522891bf7f1783992918f2bdfde0a15d41e4d941

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page