{"id":16707381,"url":"https://github.com/xiaodaigh/julia-data-science-base-docker-img","last_synced_at":"2026-01-02T01:59:36.076Z","repository":{"id":73048602,"uuid":"231374256","full_name":"xiaodaigh/julia-data-science-base-docker-img","owner":"xiaodaigh","description":"Julia Data Science Docker with data science packages compiled for instant loading!","archived":false,"fork":false,"pushed_at":"2020-09-24T03:34:57.000Z","size":59,"stargazers_count":13,"open_issues_count":0,"forks_count":5,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-01-21T10:08:25.538Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Dockerfile","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/xiaodaigh.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2020-01-02T12:07:25.000Z","updated_at":"2021-10-13T08:00:20.000Z","dependencies_parsed_at":null,"dependency_job_id":"51ef7614-152e-4622-855d-e72b6ce33895","html_url":"https://github.com/xiaodaigh/julia-data-science-base-docker-img","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xiaodaigh%2Fjulia-data-science-base-docker-img","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xiaodaigh%2Fjulia-data-science-base-docker-img/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xiaodaigh%2Fjulia-data-science-base-docker-img/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xiaodaigh%2Fjulia-data-science-base-docker-img/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/xiaodaigh","download_url":"https://codeload.github.com/xiaodaigh/julia-data-science-base-docker-img/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243613149,"owners_count":20319474,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-12T19:39:12.958Z","updated_at":"2026-01-02T01:59:36.021Z","avatar_url":"https://github.com/xiaodaigh.png","language":"Dockerfile","funding_links":[],"categories":[],"sub_categories":[],"readme":"# There is a now a better way to do this with PackageCompiler.jl\r\n\r\n\r\n# Intro\r\nJulia Data Science Docker with data science packages compiled for instant loading!\r\n\r\nTime-to-first-plot (TTFP) is often regarded as one of Julia's main pain points. The PackageCompiler.jl package can compile these package and alleviate the pain. It works by pre-\"compiling\" the packages and baking them into the julia sysimage so that `using Pkg1` will be fast just like base packages.\r\n\r\nThis is an experimental first attempt at making data science packages used by me into a docker image with pre-compiled data science packages.\r\n\r\n## Usage\r\n\r\nFirstly, install Docker. If you are running Windows, I recommend installing git so you have access to git bash.\r\n\r\nOn Windows you IP can be found using `ipconfig` and on Linux with `ifconfig`. This is needed if you wish to do plotting from the docker image.\r\n\r\n\r\n**Basic: Windows**\r\n```bash\r\ndocker run --rm \\\r\n\t-e DISPLAY=YOUR_IP:0.0 \\\r\n\t-e JUPYTER_ENABLE_LAB=yes \\\r\n\t-v \"$PWD\":/home/jovyan/work\\\r\n\t-it -p 8888:8888 \\\r\n\txiaodaidocker2019/julia-data-science-base\r\n```\r\n\r\nOften one may wish to save the data to somewhere on the hard drive, you may do this by attaching a local folder to the directory `somedir`.\r\n\r\n## Packages\r\n\r\nThe below packages are compiled using PackageCompiler.jl into the image\r\n\r\n| Package             | Type                            | Notes                                      |\r\n| ------------------- | ------------------------------- | -------------------------------            |\r\n| CategoricalArrays   | Foundation                      |                                            |\r\n| Clustering          | Unsupervised learning           |                                            |\r\n| CSV                 | Data IO                         |                                            |\r\n| DataConvenience     | Data Manipulation/Convenience   |                                            |\r\n| DataFrames          | Data Manipulation               |                                            |\r\n| DataFramesMeta      | Data Manipulation               |                                            |\r\n| DecisionTree        | Supervised learning             |                                            |\r\n| FastGroupBy         | Data Manipulation/Convenience   |                                            |\r\n| Feather             | Data IO                         |                                            |\r\n| FreqTables          | Foundation/Statistics           |                                            |\r\n| GLM                 | Supervised learning             |                                            |\r\n| JDF                 | Data IO                         | For reading/writing JDF files              |\r\n| JLBoost             | Supervised learning             |                                            |\r\n| Lazy                | Data Manipulation/Convenience   |                                            |\r\n| Missings            | Foundation                      |                                            |\r\n| Parquet             | Data IO                         | ParquetFiles is quite broken at the moment |\r\n| Plots               | Plotting                        |                                            |\r\n| RDatasets           | Data                            |                                            |\r\n| SortingLab          | Data Manipulation/Convenience   |                                            |\r\n| StatsBase           | Foundation/Statistics           |                                            |\r\n| StatsPlots          | Plotting                        |                                            |\r\n| Tables              | Data Manipulation/Convenience   |                                            |\r\n| TableView           | Data Viewing                    |                                            |\r\n| XGBoost             | Supervised learning             |                                            |\r\n\r\n\r\nThe below packages are included but not compiled\r\n\r\n| Package | Type | Notes |\r\n| -- | -- | -- |\r\n| Pipe | Data Manipulation/Convenience | If compiled into base then there is warning message with Pipe |\r\n| TableView | Data Viewing | If compiled then doesn't work with JupyterLab |\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxiaodaigh%2Fjulia-data-science-base-docker-img","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fxiaodaigh%2Fjulia-data-science-base-docker-img","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxiaodaigh%2Fjulia-data-science-base-docker-img/lists"}