DataTransformerRegistry.enable('default')
This report provides some high level statistics about GitHub repositories contained under the Living with Machines Organization. The report is mainly intended to provide some stats to aid in reporting to our funder.
This report is updated automatically every week, last generated on: 2023-09-18
The rest of this document outlines some high level stats for GitHub repositories under the Living with Machines GitHub Organization.
Currently Living with Machines has the following public repositories:
| Repositories | |
|---|---|
| 1 | lwm_ARTIDIGH_2020_OCR_impact_downstream_NLP_tasks |
| 2 | lwm_GIR19_resolving_places |
| 3 | D3_JS_viz_in_a_Python_Jupyter_notebook |
| 4 | alto2txt |
| 5 | DeezyMatch |
| 6 | LwM_SIGSPATIAL2020_ToponymMatching |
| 7 | histLM |
| 8 | AzureAudit |
| 9 | maps-at-scale-hack-day-notebooks |
| 10 | deduplify |
| 11 | station-to-station |
| 12 | TargetedSenseDisambiguation |
| 13 | AtypicalAnimacy |
| 14 | nnanno |
| 15 | computer-vision-DHNordic-2020-workshop |
| 16 | maps-at-scale-using-computer-vision-and-jupyte... |
| 17 | TheLivingMachine |
| 18 | gh_orgstats |
| 19 | GazFuse |
| 20 | github_stats_report |
| 21 | nnanno_example_data |
| 22 | hmd_newspaper_dl |
| 23 | PressPicker_public |
| 24 | Computer-Vision-for-the-Humanities-workshop |
| 25 | Jupyter-Notebooks-The-Weird-and-Wonderful |
| 26 | PressDirectories |
| 27 | T-Res |
| 28 | jisc-wrangler |
| 29 | MapReader |
| 30 | .github |
| 31 | genre-classification |
| 32 | subsamplr |
| 33 | lwmdb |
| 34 | image-search |
| 35 | zoonyper |
| 36 | zooniverse-analysis-workshop |
| 37 | dhoxss-text2tech |
| 38 | DiachronicEmb-BigHistData |
| 39 | hmd_url_generator |
| 40 | DeezyMatch_tutorials |
| 41 | accidents-interactive |
| 42 | machines-interactive |
| 43 | ERWT |
| 44 | alto2txt2fixture |
| 45 | dated-translator |
| 46 | ai4lam-huggingface-datasets-demo |
| 47 | wrangle-ukds-trade-directories |
| 48 | label-studio-converter |
| 49 | OS_jpg_to_geotiff |
| 50 | VisualisingPressDirectories |
Additionaly Living with Machines has 38 private repositories which have not yet been published
This section provides an overview of what type of content is in Living with Machines repositories by looking at the file extension counts note that these counts are based only on default branches so will under count for private repositories
Living with Machines has promised a particular focus on making methods available to other researchers, one way in which the project is aiming to this is through the production of Jupyter notebooks.
Living with Machines currently has 174 Jupyter notebooks in public repositories and 86 in private repositories.
This chart shows the number and type of files for each public Living with Machines repository note that this only considers files on the default branch of the repository. We also don't include .jpg files or .json files since these are often used as for storing data.
| stars | forks | |
|---|---|---|
| lwm_ARTIDIGH_2020_OCR_impact_downstream_NLP_tasks | 9 | 2 |
| lwm_GIR19_resolving_places | 7 | 3 |
| D3_JS_viz_in_a_Python_Jupyter_notebook | 12 | 3 |
| alto2txt | 8 | 1 |
| DeezyMatch | 109 | 31 |
| ... | ... | ... |
| wrangle-ukds-trade-directories | 0 | 0 |
| label-studio-converter | 3 | 0 |
| OS_jpg_to_geotiff | 0 | 0 |
| VisualisingPressDirectories | 0 | 0 |
| Total | 332 | 91 |
51 rows × 2 columns
GitHub provides owners of a repository with some traffic statistics, including view stats. These are broken into 'unique' and 'total' views.
Living with Machines public repositories have generated 7731 total views to date with an average of 155 daily views
The top chart shows us the total views over time by repository, the bottom histogram breaks this down by view type