| 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. |
