{"id":13501343,"url":"https://github.com/olavolav/uniplot","last_synced_at":"2026-01-14T20:52:07.183Z","repository":{"id":64948545,"uuid":"287741259","full_name":"olavolav/uniplot","owner":"olavolav","description":"Lightweight plotting to the terminal. 4x resolution via Unicode.","archived":false,"fork":false,"pushed_at":"2026-01-04T12:38:49.000Z","size":54218,"stargazers_count":431,"open_issues_count":2,"forks_count":21,"subscribers_count":3,"default_branch":"master","last_synced_at":"2026-01-06T19:31:34.655Z","etag":null,"topics":["ascii-art","braille","ci","cli","console","dataviz","observability","plot","python","terminal","tui","unicode"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/olavolav.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","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,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2020-08-15T12:21:10.000Z","updated_at":"2026-01-06T18:07:41.000Z","dependencies_parsed_at":"2024-02-26T19:44:16.760Z","dependency_job_id":"22adc906-d631-469c-bc4b-b7b9a943e689","html_url":"https://github.com/olavolav/uniplot","commit_stats":{"total_commits":252,"total_committers":6,"mean_commits":42.0,"dds":"0.18253968253968256","last_synced_commit":"d14d9b7d7deeca54cf61649c9b827d9de819aefe"},"previous_names":[],"tags_count":56,"template":false,"template_full_name":null,"purl":"pkg:github/olavolav/uniplot","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/olavolav%2Funiplot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/olavolav%2Funiplot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/olavolav%2Funiplot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/olavolav%2Funiplot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/olavolav","download_url":"https://codeload.github.com/olavolav/uniplot/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/olavolav%2Funiplot/sbom","scorecard":{"id":704568,"data":{"date":"2025-08-11","repo":{"name":"github.com/olavolav/uniplot","commit":"5f7d748db56692fae4d5899031e622316f8f1cf2"},"scorecard":{"version":"v5.2.1-40-gf6ed084d","commit":"f6ed084d17c9236477efd66e5b258b9d4cc7b389"},"score":4.4,"checks":[{"name":"Token-Permissions","score":0,"reason":"detected GitHub workflow tokens with excessive permissions","details":["Warn: no topLevel permission defined: .github/workflows/unit_tests.yml:1","Info: no jobLevel write permissions found"],"documentation":{"short":"Determines if the project's workflows follow the principle of least privilege.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#token-permissions"}},{"name":"Code-Review","score":0,"reason":"Found 1/29 approved changesets -- score normalized to 0","details":null,"documentation":{"short":"Determines if the project requires human code review before pull requests (aka merge requests) are merged.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#code-review"}},{"name":"Maintained","score":10,"reason":"30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10","details":null,"documentation":{"short":"Determines if the project is \"actively maintained\".","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#maintained"}},{"name":"Packaging","score":-1,"reason":"packaging workflow not detected","details":["Warn: no GitHub/GitLab publishing workflow detected."],"documentation":{"short":"Determines if the project is published as a package that others can easily download, install, easily update, and uninstall.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#packaging"}},{"name":"Dangerous-Workflow","score":10,"reason":"no dangerous workflow patterns detected","details":null,"documentation":{"short":"Determines if the project's GitHub Action workflows avoid dangerous patterns.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#dangerous-workflow"}},{"name":"CII-Best-Practices","score":0,"reason":"no effort to earn an OpenSSF best practices badge detected","details":null,"documentation":{"short":"Determines if the project has an OpenSSF (formerly CII) Best Practices Badge.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#cii-best-practices"}},{"name":"Binary-Artifacts","score":10,"reason":"no binaries found in the repo","details":null,"documentation":{"short":"Determines if the project has generated executable (binary) artifacts in the source repository.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#binary-artifacts"}},{"name":"Vulnerabilities","score":10,"reason":"0 existing vulnerabilities detected","details":null,"documentation":{"short":"Determines if the project has open, known unfixed vulnerabilities.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#vulnerabilities"}},{"name":"Security-Policy","score":0,"reason":"security policy file not detected","details":["Warn: no security policy file detected","Warn: no security file to analyze","Warn: no security file to analyze","Warn: no security file to analyze"],"documentation":{"short":"Determines if the project has published a security policy.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#security-policy"}},{"name":"License","score":10,"reason":"license file detected","details":["Info: project has a license file: LICENSE:0","Info: FSF or OSI recognized license: MIT License: LICENSE:0"],"documentation":{"short":"Determines if the project has defined a license.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#license"}},{"name":"Fuzzing","score":0,"reason":"project is not fuzzed","details":["Warn: no fuzzer integrations found"],"documentation":{"short":"Determines if the project uses fuzzing.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#fuzzing"}},{"name":"Branch-Protection","score":0,"reason":"branch protection not enabled on development/release branches","details":["Warn: branch protection not enabled for branch 'master'"],"documentation":{"short":"Determines if the default and release branches are protected with GitHub's branch protection settings.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#branch-protection"}},{"name":"Signed-Releases","score":-1,"reason":"no releases found","details":null,"documentation":{"short":"Determines if the project cryptographically signs release artifacts.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#signed-releases"}},{"name":"SAST","score":0,"reason":"SAST tool is not run on all commits -- score normalized to 0","details":["Warn: 0 commits out of 2 are checked with a SAST tool"],"documentation":{"short":"Determines if the project uses static code analysis.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#sast"}},{"name":"Pinned-Dependencies","score":0,"reason":"dependency not pinned by hash detected -- score normalized to 0","details":["Warn: GitHub-owned GitHubAction not pinned by hash: .github/workflows/unit_tests.yml:14: update your workflow using https://app.stepsecurity.io/secureworkflow/olavolav/uniplot/unit_tests.yml/master?enable=pin","Warn: GitHub-owned GitHubAction not pinned by hash: .github/workflows/unit_tests.yml:17: update your workflow using https://app.stepsecurity.io/secureworkflow/olavolav/uniplot/unit_tests.yml/master?enable=pin","Warn: third-party GitHubAction not pinned by hash: .github/workflows/unit_tests.yml:22: update your workflow using https://app.stepsecurity.io/secureworkflow/olavolav/uniplot/unit_tests.yml/master?enable=pin","Info:   0 out of   2 GitHub-owned GitHubAction dependencies pinned","Info:   0 out of   1 third-party GitHubAction dependencies pinned"],"documentation":{"short":"Determines if the project has declared and pinned the dependencies of its build process.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#pinned-dependencies"}}]},"last_synced_at":"2025-08-22T06:09:18.194Z","repository_id":64948545,"created_at":"2025-08-22T06:09:18.194Z","updated_at":"2025-08-22T06:09:18.194Z"},"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28434500,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-14T18:57:19.464Z","status":"ssl_error","status_checked_at":"2026-01-14T18:52:48.501Z","response_time":107,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["ascii-art","braille","ci","cli","console","dataviz","observability","plot","python","terminal","tui","unicode"],"created_at":"2024-07-31T22:01:34.001Z","updated_at":"2026-01-14T20:52:07.173Z","avatar_url":"https://github.com/olavolav.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# Uniplot\n[![Build Status](https://github.com/olavolav/uniplot/actions/workflows/unit_tests.yml/badge.svg?branch=master)](https://github.com/olavolav/uniplot/actions?query=workflow%3A\"Unit+Tests\")\n[![PyPI Version](https://badge.fury.io/py/uniplot.svg)](https://pypi.org/project/uniplot/)\n[![PyPI Downloads](https://pepy.tech/badge/uniplot)](https://pepy.tech/project/uniplot)\n\nLightweight plotting to the terminal. 4x resolution via Unicode.\n\n![uniplot demo GIF](https://github.com/olavolav/uniplot/raw/master/resource/uniplot-demo.gif)\n\nWhen working with production data science code it can be handy to have plotting\ntool that does not rely on graphics dependencies or works only in a Jupyter\nnotebook.\n\nThe **use case** that this was built for is to have plots as part of your data\nscience / machine learning CI/CD pipeline - that way whenever something goes\nwrong, you get not only the error and backtrace but also plots that show what\nthe problem was.\n\n\n## Features\n\n* Unicode drawing, so 4x the resolution (pixels) of usual ASCII plots, or even\n  8x when using Braille characters\n* Super simple API\n* Interactive mode (pass `interactive=True`)\n* Color mode (pass `color=True`) useful in particular when plotting multiple series\n* It's fast: Plotting 1M data points takes 26ms thanks to NumPy magic\n\nPlease note that Unicode drawing will work correctly only when using a font\nthat fully supports the [Block Elements character\nset](https://en.wikipedia.org/wiki/Box-drawing_character) or the [Braille\ncharacter set](https://en.wikipedia.org/wiki/Braille_Patterns). Please refer to\n[this page for a (incomplete) list of supported\nfonts](https://www.fileformat.info/info/unicode/block/block_elements/fontsupport.htm)\nand the options below to select the character set.\n\n\n## Simple example\n\n\n```python\nimport math\nx = [math.sin(i / 20) + i / 300 for i in range(600)]\nfrom uniplot import plot\nplot(x, title=\"Sine wave\")\n```\n\nResult:\n```\n                          Sine wave\n┌────────────────────────────────────────────────────────────┐\n│                                                    ▟▀▚     │\n│                                                   ▗▘ ▝▌    │\n│                                       ▗▛▜▖        ▞   ▐    │\n│                                       ▞  ▜       ▗▌    ▌   │ 2\n│                           ▟▀▙        ▗▘  ▝▌      ▐     ▜   │\n│                          ▐▘ ▝▖       ▞    ▜      ▌     ▝▌  │\n│              ▗▛▜▖        ▛   ▜      ▗▌    ▝▌    ▐▘      ▜  │\n│              ▛  ▙       ▗▘   ▝▖     ▐      ▚    ▞       ▝▌ │\n│  ▟▀▖        ▐▘  ▝▖      ▟     ▚     ▌      ▝▖  ▗▌        ▜▄│ 1\n│ ▐▘ ▐▖       ▛    ▙      ▌     ▐▖   ▗▘       ▚  ▞           │\n│ ▛   ▙      ▗▘    ▐▖    ▐       ▙   ▞        ▝▙▟▘           │\n│▐▘   ▐▖     ▐      ▌    ▛       ▐▖ ▗▘                       │\n│▞     ▌     ▌      ▐   ▗▘        ▜▄▛                        │\n│▌─────▐────▐▘───────▙──▞────────────────────────────────────│ 0\n│       ▌   ▛        ▝▙▟▘                                    │\n│       ▜  ▐▘                                                │\n│        ▙▄▛                                                 │\n└────────────────────────────────────────────────────────────┘\n         100       200       300       400       500       600\n```\n\nFor more examples, please see the `examples/` folder.\n\n\n## Parameters\n\nThe `plot` function accepts a number of parameters, all listed below. Note that\nonly `ys` is required, all others are optional.\n\nThere is also a `plot_to_string` function with the same signature, if you want\nthe result as a list of strings, to include the output elsewhere. The only\ndifference is that `plot_to_string` does not support interactive mode.\n\n\n### Data\n\n* `xs` - The x coordinates of the points to plot. Can either be `None`, or a\n  list or NumPy array for plotting a single series, or a list of those for\n  plotting multiple series. Defaults to `None`, meaning that the x axis will be\n  just the sample index of `ys`.\n* `ys` - The y coordinates of the points to plot. Can either be a list or NumPy\n  array for plotting a single series, or a list of those for plotting multiple\n  series.\n\nIn both cases, NaN or `None` values are ignored.\n\nNote that since v0.12.0 you can also pass a list or an NumPy array of\ntimestamps, and the axis labels should be formatted correctly.\n\n\n### Options\n\nIn alphabetical order:\n\n#### Basic options\n\n* `color` - Draw series in color. Defaults to `False` when plotting a single\n  series, and to `True` when plotting multiple. Also accepts a list of colors,\n  identified by strings like `\"red\"` for simple ANSI colors, tuples of RGB\n  values like `(255,0,0)`, or hexadecimal RGB colors like `\"#B4FBB8\"`.\n  Alternaively, you can specify a color theme as a string, as defined in\n  `uniplot/color_themes.py`. Note that for RGB colors you need to use a\n  terminal that supports them.\n* `height` - The height of the plotting region, in characters. Default is `17`.\n* `interactive` - Enable interactive mode. Defaults to `False`.\n* `legend_labels` - Labels for the series. Can be `None` or a list of strings.\n  Defaults to `None`.\n* `lines` - Enable lines between points. Can either be `True` or `False`, or a\n  list of Boolean values for plotting multiple series. Defaults to `False`.\n* `title` - The title of the plot. Defaults to `None`.\n* `width` - The width of the plotting region, in characters. Default is `60`.\n  Note that if the `line_length_hard_cap` option (see \"Advanced options\" below)\n  is used and there is not enough space, the actual width may be smaller.\n* `x_max` - Maximum x value of the view. Defaults to a value that shows all\n  data points.\n* `x_min` - Minimum x value of the view. Defaults to a value that shows all\n  data points.\n* `x_unit` - Unit of the x axis. This is a string that is appended to the axis\n  labels. Defaults to `\"\"`.\n* `y_max` - Maximum y value of the view. Defaults to a value that shows all\n  data points.\n* `y_min` - Minimum y value of the view. Defaults to a value that shows all\n  data points.\n* `y_unit` - Unit of the y axis. This is a string that is appended to the axis\n  labels. Defaults to `\"\"`.\n\n#### Advanced options\n\n* `character_set` - Which Unicode character set to use. Use `\"block\"` for\n  the [Block Elements character\n  set](https://en.wikipedia.org/wiki/Block_Elements) with 4x resolution, or\n  `\"braille\"` for the [Braille character\n  set](https://en.wikipedia.org/wiki/Braille_Patterns) with 8x resolution,\n  `\"ascii\"` to use ASCII characters only. Braille has the highest resolution,\n  and a lighter look overall. Defaults to `\"block\"`.\n* `force_ascii_characters` -  List of characters to use when using the\n  ASCII character set. Defaults to `[\"+\", \"x\", \"o\", \"*\", \"~\", \".\"]`.\n* `legend_placement` - Arrangement of the legend labels. `\"auto\"` attempts to\n  place them one or more rows next to each other, while `\"vertical\"` is a\n  block with one label per row. Defaults to `\"auto\"`.\n* `line_length_hard_cap` - Enforce a hard limit on the number of characters per\n  line of the plot area. This may override the `width` option if there is not\n  enough space. Defaults to `None`.\n* `rounded_corners` - Draw bounding box with round corners. Defaults to `False.\n* `x_as_log` - Plot the x axis as logarithmic scale. Defaults to `False`.\n* `x_gridlines` - A list of x values that have a vertical line for better\n  orientation. Defaults to `[0]`, or to `[]` if `x_as_log` is enabled.\n* `x_gridlines_color` - A boolean or a list of colors for the vertical\n  gridlines, as specified above for the `color` option. Defaults to `False`.\n* `x_labels` - Enable axis labels for the x axis. Defaults to `True`.\n* `y_as_log` - Plot the y axis as logarithmic scale. Defaults to `False`.\n* `y_gridlines` - A list of y values that have a horizontal line for better\n  orientation. Defaults to `[0]`, or to `[]` if `y_as_log` is enabled.\n* `y_gridlines_color` - A boolean or a list of colors for the horizontal\n  gridlines, as specified above for the `color` option. Defaults to `False`.\n* `y_labels` - Enable axis labels for the y axis. Defaults to `True`.\n\n\n### Changing default parameters\n\nuniplot does not store a state of the configuration parameters. However, you\ncan define a new plot funtion with new defaults by defining a `partial`. See\nthe following example:\n\n```python\nfrom functools import partial\nfrom uniplot import plot as default_plot\nplot = partial(default_plot, height=25, width=80)\n```\n\nThis defines a new `plot` function that is identical to the original, except\nthe default values for `width` and `height` are now different.\n\n\n## Experimental features\n\n### Plotting histograms\n\nFor convenience there is also a `histogram` function that accepts one or more\nseries and plots bar-chart like histograms. It will automatically discretize\nthe series into a number of bins given by the `bins` option and display the\nresult.\n\nAdditional options, in alphabetical order:\n\n* `bins` - Number of bins to use. Defaults to `20`.\n* `bins_min` - Lower limit of the first bin. Defaults to the minimum of the\n  series.\n* `bins_max` - Upper limit of the last bin. Defaults to the maximum of the\n  series.\n\nWhen calling the `histogram` function, the `lines` option is `True` by default.\n\nExample:\n\n```python\nimport numpy as np\nx = np.sin(np.linspace(1, 1000))\nfrom uniplot import histogram\nhistogram(x)\n```\n\nResult:\n```\n┌────────────────────────────────────────────────────────────┐\n│   ▛▀▀▌                       │                   ▐▀▀▜      │ 5\n│   ▌  ▌                       │                   ▐  ▐      │\n│   ▌  ▌                       │                   ▐  ▐      │\n│   ▌  ▀▀▀▌                    │                ▐▀▀▀  ▝▀▀▜   │\n│   ▌     ▌                    │                ▐        ▐   │\n│   ▌     ▌                    │                ▐        ▐   │\n│   ▌     ▙▄▄▄▄▄▖              │          ▗▄▄▄  ▐        ▐   │\n│   ▌           ▌              │          ▐  ▐  ▐        ▐   │\n│   ▌           ▌              │          ▐  ▐  ▐        ▐   │\n│   ▌           ▌              │          ▐  ▐  ▐        ▐   │\n│   ▌           ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▜  ▐▀▀▀  ▝▀▀▀        ▐   │\n│   ▌                          │    ▐  ▐                 ▐   │\n│   ▌                          │    ▐  ▐                 ▐   │\n│   ▌                          │    ▐▄▄▟                 ▐   │\n│   ▌                          │                         ▐   │\n│   ▌                          │                         ▐   │\n│▄▄▄▌▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁│▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▐▄▄▄│ 0\n└────────────────────────────────────────────────────────────┘\n     -1                        0                       1\n```\n\n### Arrow keys and FPS-style keys\n\nIn interactive mode, we now also support wasd or FPS-style keyboard layout and\nthe arrow keys. Arrows should work on most platforms like Mac, Linux or Windows. We might make the keyboard layout fully configurable, to change the current Vim-inspired one, at a later date. For now, you have 3 ways to move the view:\n\n* Vim-style: `h` left, `j` down, `k` up, `l` right, `u` zoom in, `n` zoom out.\n* FPS-style: `a` left, `s` down, `w` up, `d` right, `]` zoom in, `[` zoom out.\n* Arrow keys: movement obvious, `]` zoom in, `[` zoom out.\n\n\n### Streaming\n\nThere is initial support for streaming using the `plot_gen` function. The idea\nis have a class that wraps the plot function and the state of plotting, such\nthat we can `update` the state of the plot.\n\nExample, assuming we had a function called `get_new_data` to get new data from\nsome source:\n```python3\nfrom uniplot import plot_gen\n\nplt = plot_gen()\nys = []\n\nwhile True:\n    ys.append(get_new_data())\n    plt.update(ys=ys, title=f\"Streaming: {len(ys)} data point(s) ...\")\n```\n\nSee `examples/5-streaming.py` for a more complete example.\n\n\n## Installation\n\nInstall via pip using:\n\n```shell\npip install uniplot\n```\n\n\n## Contributing\n\nClone this repository, and make sure you\n[have uv installed](https://docs.astral.sh/uv/getting-started/installation/).\n\nOn most Linux-like systems like MacOS you can run:\n```shell\nmake\n```\nSee the `Makefile` for details and more granular commands.\n\nAlternatively, on systems like Windows that do not have `make` installed, you can run:\n```shell\nuv run scripts/run_tests.sh\n```\n\nThen proceed with issues, PRs etc. the usual way.\n\n\n## Projects that use uniplot\n\n* The [Photovoltaic Geographic Information System (PVGIS)](https://code.europa.eu/pvgis/pvgis)\n  uses uniplot to [generate horizon plots](https://asciinema.org/a/pynlwepKNRE6gqKqwPr6JmzTP).\n* The [FlexMeasures] CLI uses uniplot to [plot beliefs in sensors](https://github.com/FlexMeasures/flexmeasures/blob/2e3680cb35c1a4f2b94c7f77f9eb2ff70760755e/flexmeasures/cli/data_show.py#L754) for smart power control.\n\nYou can find many more in the [Dependency Graph](https://github.com/olavolav/uniplot/network/dependents).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Folavolav%2Funiplot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Folavolav%2Funiplot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Folavolav%2Funiplot/lists"}