tree: 4df7d0a41e1c6db7c96fcc349779eac67e36da5d [path history] [tgz]
  1. collector/
  2. util/
  3. __init__.py
  4. collect.py
  5. df.py
  6. name.py
  7. README.md
  8. report.py
  9. select.py
  10. sizedb.py
scripts/tools/memory/memdf/README.md

This package contains routines to to collect, aggregate, and report memory usage, using Pandas DataFrame as the primary representation.

  • memdf.collect — Helpers to read memory information from various sources (e.g. executables) according to command line options.
  • memdf.df — DataFrame utilities, in particular definitions of columns and types for the main uses of data frames.
  • memdf.name — Names for synthetic symbols, etc. Individual readers are located under memdf.collector.
  • memdf.report — Helpers to write data frames in various formats according to command line or configured options.
  • memdf.select — Helpers to select relevant subsets of data frames according to command line or configured options.
  • memdf.sizedb — Helpers for a database of size information.

Modules under memdf.util are not specifically tied to memory usage.

  • memdf.util.config — Config utility class for managing command line or other options according to a declarative description.
  • memdf.util.github — Utilities for communicating with GitHub.
  • memdf.util.markdown — Utilities for manipulating Markdown text.
  • memdf.util.nd — Nested dictionary utilities, used by Config.
  • memdf.util.pretty — Pretty-printed logging utility functions.
  • memdf.util.sqlite - Utilities for connecting to a sqlite3 database.
  • memdf.util.subprocess — Utilities for executing external commands.