https://github.com/predict-idlab/plotly-resampler

data-analysis data-science data-visualization plotly plotly-dash python time-series visualization

Score: 22.45030498184503

Last synced: about 10 hours ago
JSON representation

Repository metadata:

Visualize large time series data with plotly.py

Host: GitHub
URL: https://github.com/predict-idlab/plotly-resampler
Owner: predict-idlab
License: mit
Created: 2021-11-20T10:51:56.000Z (almost 5 years ago)
Default Branch: main
Last Pushed: 2026-10-04T18:10:35.000Z (20 days ago)
Last Synced: 2026-10-18T08:54:01.765Z (6 days ago)
Topics: data-analysis, data-science, data-visualization, plotly, plotly-dash, python, time-series, visualization
Language: Python
Homepage: https://predict-idlab.github.io/plotly-resampler/latest
Size: 48.7 MB
Stars: 1,212
Watchers: 15
Forks: 77
Open Issues: 62
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Funding:
- Github: jonasvdd, jvdd

Owner metadata:

Name: PreDiCT.IDLab
Login: predict-idlab
Email:
Kind: organization
Description: Repositories of the IDLab PreDiCT research group
Website: http://predict.idlab.ugent.be/
Location: Ghent - Belgium
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/85740069?v=4
Repositories: 76
Last Synced at: 2026-10-22T18:11:21.960Z
Profile URL: https://github.com/predict-idlab

GitHub Events

Total

Create event: 3
Delete event: 4
Fork event: 12
Issue comment event: 52
Issues event: 29
Pull request event: 18
Pull request review comment event: 8
Pull request review event: 16
Push event: 46
Watch event: 131
Total: 319

Last Year

Issue comment event: 3
Issues event: 2
Push event: 2
Watch event: 12
Total: 19

Committers metadata

Last synced: 1 day ago

Total Commits: 727
Total Committers: 15
Avg Commits per committer: 48.467
Development Distribution Score (DDS): 0.369

Commits in past year: 7
Committers in past year: 2
Avg Commits per committer in past year: 3.5
Development Distribution Score (DDS) in past year: 0.143

Name	Email	Commits
jonvdrdo	j**t@u**e	459
jvdd	b**d@g**m	249
Emiel Deprost	e**t@u**e	5
Jayce Slesar	4****r	2
Niels Praet	6****t	2
동희(Donghee Han)	h**5@g**m	1
mstojche	m**a@u**e	1
Tomasz Jakubek	T**k@c**m	1
Sofie Van Hoecke	s**e@u**e	1
Michael Moore	1****e	1
Maxim Ivanov	i**g@g**m	1
Mathieu De Meue	m**u@d**e	1
Emmanuel Ferdman	e**n@g**m	1
Alexander Braekevelt	a**t@g**m	1
Mathieu De Meue	m**e@c**e	1

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 138
Total pull requests: 120
Average time to close issues: 4 months
Average time to close pull requests: about 1 month
Total issue authors: 84
Total pull request authors: 13
Average comments per issue: 2.93
Average comments per pull request: 1.68
Merged pull request: 93
Bot issues: 0
Bot pull requests: 0

Past year issues: 5
Past year pull requests: 6
Past year average time to close issues: 6 months
Past year average time to close pull requests: 4 months
Past year issue authors: 4
Past year pull request authors: 4
Past year average comments per issue: 1.0
Past year average comments per pull request: 0.67
Past year merged pull request: 3
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/predict-idlab/plotly-resampler

Top Issue Authors

jonasvdd (27)
jvdd (8)
kszlim (4)
Jeremy38100 (3)
sorenwacker (2)
firmai (2)
zxweed (2)
jayceslesar (2)
mhangaard (2)
vinay-hebb (2)
darynwhite (2)
hongbo-miao (2)
Velip09 (2)
auxym (2)
Olivier0330 (2)

Top Pull Request Authors

jonasvdd (58)
jvdd (33)
NielsPraet (7)
jayceslesar (4)
ivanovmg (4)
yzhaoinuw (3)
lemikhovalex (2)
raashish1601 (2)
t-jakubek (2)
emmanuel-ferdman (2)
ISX2 (1)
imichaelmoore (1)
hdh7485 (1)

Top Issue Labels

bug (53)
enhancement (19)
documentation (16)
discussion (7)
question (4)
installation (4)
Hotfixed (2)
wontfix (2)
new feature (2)
dependencies (1)
works-on-main (1)
examples (1)
duplicate (1)
invalid (1)
integration (1)
Optimization (1)

Top Pull Request Labels

enhancement (22)
bug (12)
documentation (4)
dependencies (4)
Optimization (2)
new feature (1)
integration (1)

Package metadata

Total packages: 4
Total downloads:
- conda: 2,256
- pypi: 289,468 last-month
Total docker downloads: 2,335
Total dependent packages: 11 (may contain duplicates)
Total dependent repositories: 195 (may contain duplicates)
Total versions: 92
Total maintainers: 2

pypi.org: plotly-resampler

Visualizing large time series with plotly

Homepage:
Documentation: https://predict-idlab.github.io/plotly-resampler/latest
Licenses: MIT
Latest release: 0.11.1 (published 20 days ago)
Last Synced: 2026-10-22T18:00:57.817Z (1 day ago)
Versions: 66
Dependent Packages: 11
Dependent Repositories: 193
Downloads: 289,468 Last month
Docker Downloads: 2,335
Rankings:
- Downloads: 0.596%
- Dependent repos count: 1.101%
- Dependent packages count: 1.257%
- Stargazers count: 2.171%
- Average: 2.199%
- Docker downloads count: 2.41%
- Forks count: 5.66%
Maintainers (2)
- jvdd
- jonvdrdo

proxy.golang.org: github.com/predict-idlab/plotly-resampler

Homepage:
Documentation: https://pkg.go.dev/github.com/predict-idlab/plotly-resampler#section-documentation
Licenses: mit
Latest release: v0.11.1 (published 20 days ago)
Last Synced: 2026-10-22T18:00:58.681Z (1 day ago)
Versions: 10
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
- Dependent packages count: 9.016%
- Average: 9.591%
- Dependent repos count: 10.166%

conda-forge.org: plotly-resampler

Homepage: https://github.com/predict-idlab/plotly-resampler
Licenses: MIT
Latest release: 0.8.1 (published about 4 years ago)
Last Synced: 2026-03-15T15:20:45.410Z (7 months ago)
Versions: 14
Dependent Packages: 0
Dependent Repositories: 1
Rankings:
- Stargazers count: 15.34%
- Dependent repos count: 24.407%
- Forks count: 26.593%
- Average: 29.486%
- Dependent packages count: 51.604%

anaconda.org: plotly-resampler

Plotly is an awesome interactive visualization library, however it can get pretty slow when a lot of data points are visualized (100 000+ datapoints). Plotly-resampler solves this by downsampling (aggregating) the data respective to the view and then plotting the aggregated points. When you interact with the plot (panning, zooming, ...), callbacks are used to aggregate data and update the figure.

Homepage: https://github.com/predict-idlab/plotly-resampler
Licenses: MIT
Latest release: 0.11.0 (published about 1 year ago)
Last Synced: 2026-09-14T06:27:20.638Z (about 1 month ago)
Versions: 2
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 2,256 Total
Rankings:
- Stargazers count: 27.212%
- Forks count: 39.263%
- Average: 42.268%
- Dependent packages count: 51.193%
- Dependent repos count: 51.404%

Dependencies

.github/workflows/lint.yml actions

actions/cache v2 composite
actions/checkout v2 composite
actions/setup-python v2 composite
snok/install-poetry v1 composite

.github/workflows/test.yml actions

actions/cache v2 composite
actions/checkout v2 composite
actions/setup-python v2 composite
actions/upload-artifact v2 composite
codecov/codecov-action v1 composite
nanasess/setup-chromedriver master composite
snok/install-poetry v1 composite

examples/requirements.txt pypi

dash-bootstrap-components >=1.2.0
dash-extensions >=0.1.4
ipywidgets >=7.7.0
kaleido >=0.2.1
line-profiler >=3.5.1
memory-profiler >=0.60.0
pyarrow >=6.0.0
pyfunctional >=1.4.3

poetry.lock pypi

162 dependencies

pyproject.toml pypi

Sphinx ^4.4.0 develop
black ^22.6.0 develop
ipywidgets ^7.7.1 develop
isort ^5.10.1 develop
kaleido 0.2.1 develop
line-profiler ^4.0 develop
memory-profiler ^0.60.0 develop
pyarrow ^10.0 develop
pydata-sphinx-theme ^0.9.0 develop
pytest ^6.2.5 develop
pytest-cov ^3.0.0 develop
pytest-selenium ^2.0.1 develop
ruff ^0.0.173 develop
selenium 4.2.0 develop
selenium-wire ^5.0 develop
sphinx-autodoc-typehints ^1.17.0 develop
webdriver-manager ^3.5.2 develop
Flask-Cors ^3.0.10
Werkzeug <=2.1.2
dash ^2.2.0
jupyter-dash >=0.4.2
numpy --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: ">=1.14" python: "<3.11" - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: ">=1.24" python: ">=3.11"
orjson ^3.8.0
pandas ^1.3.5
plotly ^5.5.0
python ^3.7.1
trace-updater >=0.0.8

.github/workflows/codeql.yml actions

actions/checkout v3 composite
github/codeql-action/analyze v2 composite
github/codeql-action/init v2 composite

.github/workflows/deploy-mkdocs.yml actions

actions/cache v3 composite
actions/checkout v3 composite
actions/setup-python v4 composite
snok/install-poetry v1 composite

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