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  1. The latest Cantor merge request (!150) introduces improvements in:

    ➡️ Worksheet navigation
    ➡️ Structure handling
    ➡️ Plot integration
    ➡️ General worksheet usability

    These enhancements also benefit #LabPlot, enabling smoother data visualization and analysis workflows. :boost_love:

    Read more here:
    👉 invent.kde.org/education/canto

    #Cantor #LabPlot #KDE #OpenSource #FOSS #DataAnalysis #DataSience #Science #ScientificGraphing #DataViz #Statistics #Physics #Chemistry #Math #OpenScience #NLnet #Python #R

  2. The latest Cantor merge request (!150) introduces improvements in:

    ➡️ Worksheet navigation
    ➡️ Structure handling
    ➡️ Plot integration
    ➡️ General worksheet usability

    These enhancements also benefit #LabPlot, enabling smoother data visualization and analysis workflows. :boost_love:

    Read more here:
    👉 invent.kde.org/education/canto

    #Cantor #LabPlot #KDE #OpenSource #FOSS #DataAnalysis #DataSience #Science #ScientificGraphing #DataViz #Statistics #Physics #Chemistry #Math #OpenScience #NLnet #Python #R

  3. Acc. to #OSWorld 2.0 tools like #LabPlot remain essential bc they deliver reliable, domain-specific precision—unlike current #AI agents, which struggle with complex, long-horizon tasks. Even #Claude Opus 4.8 achieves only 20.6% binary accuracy and 54.8% partial score.

    #Agents fail to maintain state, track details, or adapt dynamically. :boost_love:

    Read more here:
    👉 osworld-v2.xlang.ai

    #OpenSource #DataScience #DataAnalysis #Science #DataViz #OpenScience #ChatGPT #LLM #Qwen #Kimi

  4. Acc. to #OSWorld 2.0 tools like #LabPlot remain essential bc they deliver reliable, domain-specific precision—unlike current #AI agents, which struggle with complex, long-horizon tasks. Even #Claude Opus 4.8 achieves only 20.6% binary accuracy and 54.8% partial score.

    #Agents fail to maintain state, track details, or adapt dynamically. :boost_love:

    Read more here:
    👉 osworld-v2.xlang.ai

    #OpenSource #DataScience #DataAnalysis #Science #DataViz #OpenScience #ChatGPT #LLM #Qwen #Kimi

  5. #LabPlot just secured an impressive 2nd place out of 10 strong competitors in @worldmetrics’ 2026 ranking of the Best #ScientificGraphing Software. 🎉 :boost_love:

    @[email protected] @opensource

    LabPlot scored 8.9/10 for its open-source plotting, curve fitting, and traceable reporting features. A fantastic achievement for an #OpenScience tool!

    Read more here:
    👉 worldmetrics.org/best/scientif

    @nlnet

    #OpenSource #DataViz #DataAnalysis #Statistics #Science #OriginLab #MATLAB #RStudio #Python #PowerBI #Octave

  6. #LabPlot just secured an impressive 2nd place out of 10 strong competitors in @worldmetrics’ 2026 ranking of the Best #ScientificGraphing Software. 🎉 :boost_love:

    @[email protected] @opensource

    LabPlot scored 8.9/10 for its open-source plotting, curve fitting, and traceable reporting features. A fantastic achievement for an #OpenScience tool!

    Read more here:
    👉 worldmetrics.org/best/scientif

    @nlnet

    #OpenSource #DataViz #DataAnalysis #Statistics #Science #OriginLab #MATLAB #RStudio #Python #PowerBI #Octave

  7. 📅 :boost_love: New in #LabPlot [dev]: #Date and #Time functions in spreadsheets, including:

    👉 today, now – current date and time.
    👉 date, year, month, day, hour, minute, second – extract components from datetime values.
    👉 datedif – calculate the difference between two dates.

    Useful for time-based data analysis, logging and visualization.

    #DataViz #OpenSource #FOSS #FLOSS #DataScience #DataAnalysis #Research #Productivity #OpenScience #Tech #Engineering #Education #SysAdmin #DevOps #DataOps

  8. 📅 :boost_love: New in #LabPlot [dev]: #Date and #Time functions in spreadsheets, including:

    👉 today, now – current date and time.
    👉 date, year, month, day, hour, minute, second – extract components from datetime values.
    👉 datedif – calculate the difference between two dates.

    Useful for time-based data analysis, logging and visualization.

    #DataViz #OpenSource #FOSS #FLOSS #DataScience #DataAnalysis #Research #Productivity #OpenScience #Tech #Engineering #Education #SysAdmin #DevOps #DataOps

  9. You can now add #Markdown Notes in #LabPlot [dev]! :boost_love:

    Benefits:
    👉️ Write rich, formatted notes with Markdown syntax.
    👉️ Attach notes to plots/data for better context.

    Perfect for adding structured explanations, methodology details, or collaborative comments to your analysis.

    #DataViz #OpenSource #FOSS #DataScience #DataAnalysis #Research #Documentation #Productivity #OpenScience #Tech #NoteTaking

  10. You can now add #Markdown Notes in #LabPlot [dev]! :boost_love:

    Benefits:
    👉️ Write rich, formatted notes with Markdown syntax.
    👉️ Attach notes to plots/data for better context.

    Perfect for adding structured explanations, methodology details, or collaborative comments to your analysis.

    #DataViz #OpenSource #FOSS #DataScience #DataAnalysis #Research #Documentation #Productivity #OpenScience #Tech #NoteTaking

  11. New feature: #LOWESS (Locally Weighted Scatterplot Smoothing) is now available in #LabPlot [dev]. :boost_love:

    Benefits:
    👉 Smooths noisy data while preserving local trends.
    👉 Non-parametric: no need to assume a specific model.
    👉 Adjustable span parameter for flexibility in smoothing.

    Perfect for visualizing trends in experimental or observational data.

    #DataViz #OpenSource #FOSS #OSS #FLOSS #DataScience #DataAnalysis #Research #Data #Statistics #Physics #Engineering #OpenScience #Tech

  12. New feature: #LOWESS (Locally Weighted Scatterplot Smoothing) is now available in #LabPlot [dev]. :boost_love:

    Benefits:
    👉 Smooths noisy data while preserving local trends.
    👉 Non-parametric: no need to assume a specific model.
    👉 Adjustable span parameter for flexibility in smoothing.

    Perfect for visualizing trends in experimental or observational data.

    #DataViz #OpenSource #FOSS #OSS #FLOSS #DataScience #DataAnalysis #Research #Data #Statistics #Physics #Engineering #OpenScience #Tech

  13. #LabPlot (upcoming release) just got even more powerful.

    The latest merge request introduces native support for importing data from the following file formats:

    👉 #Apache #Parquet
    👉 #Apache #ORC
    👉 #Arrow #IPC (#Feather)

    —three of the most efficient and widely used columnar storage formats in data science.

    #DataScience #OpenSource #FOSS #FLOSS #KDE #DataViz #BigData #Data #DataAnalysis #Python #R #OpenData #HackerNews #TechNews #OpenData #Science #Research #Analytics #Tech #IT

  14. #LabPlot (upcoming release) just got even more powerful.

    The latest merge request introduces native support for importing data from the following file formats:

    👉 #Apache #Parquet
    👉 #Apache #ORC
    👉 #Arrow #IPC (#Feather)

    —three of the most efficient and widely used columnar storage formats in data science.

    #DataScience #OpenSource #FOSS #FLOSS #KDE #DataViz #BigData #Data #DataAnalysis #Python #R #OpenData #HackerNews #TechNews #OpenData #Science #Research #Analytics #Tech #IT

  15. Książka "Tworzenie wykresów w LabPlot 2" autorstwa Pawła Knasta i Ryszarda Maciejewskiego została udostępniona bezpłatnie przez Wydawnictwo Uniwersytetu Kaliskiego.

    📖 Wersja polskojęzyczna jest dostępna tutaj:

    👉 labplot.org/pages/books/
    👉 wydawnictwo.uniwersytetkaliski

    #LabPlot #Nauka #OpenScience #Student #Science #OpenSource #FOSS #Fizyka #Chemia

  16. Książka "Tworzenie wykresów w LabPlot 2" autorstwa Pawła Knasta i Ryszarda Maciejewskiego została udostępniona bezpłatnie przez Wydawnictwo Uniwersytetu Kaliskiego.

    📖 Wersja polskojęzyczna jest dostępna tutaj:

    👉 labplot.org/pages/books/
    👉 wydawnictwo.uniwersytetkaliski

    #LabPlot #Nauka #OpenScience #Student #Science #OpenSource #FOSS #Fizyka #Chemia

  17. #Cantor, KDE’s frontend for mathematical software and the engine behind #LabPlot’s notebook interface, just received a major update to version 26.04! 🚀 :boost_love:

    Highlights include:
    👉 Integration with KTextEditor for a modern editing experience,
    👉 Improved variable handling with cross-backend autocompletion,
    👉 Reworked #LaTeX rendering pipeline for faster,
    👉 More reliable previews.

    Read the announcement here:
    👉 cantor.kde.org/blog/2026-04-26

    #LabPlot #OpenSource #FOSS #FLOSS #Python #DataVis

  18. #Cantor, KDE’s frontend for mathematical software and the engine behind #LabPlot’s notebook interface, just received a major update to version 26.04! 🚀 :boost_love:

    Highlights include:
    👉 Integration with KTextEditor for a modern editing experience,
    👉 Improved variable handling with cross-backend autocompletion,
    👉 Reworked #LaTeX rendering pipeline for faster,
    👉 More reliable previews.

    Read the announcement here:
    👉 cantor.kde.org/blog/2026-04-26

    #LabPlot #OpenSource #FOSS #FLOSS #Python #DataVis

  19. A book in Polish titled "Creating Graphs in LabPlot 2" by Paweł Knast and Ryszard Maciejewski has been published. Kalisz, 2025.

    Na rynku wydawniczym pojawiła się książka w języku polskim pt. "Tworzenie wykresów w LabPlot 2" Pawła Knasta i Ryszarda Maciejewskiego. Kalisz 2025.

    👉 w.bibliotece.pl/7469025/Tworze

    #LabPlot #OpenSource #FOSS #FLOSS #DataVisualization #DataAnalysis #Statistics #Plots

  20. A book in Polish titled "Creating Graphs in LabPlot 2" by Paweł Knast and Ryszard Maciejewski has been published. Kalisz, 2025.

    Na rynku wydawniczym pojawiła się książka w języku polskim pt. "Tworzenie wykresów w LabPlot 2" Pawła Knasta i Ryszarda Maciejewskiego. Kalisz 2025.

    👉 w.bibliotece.pl/7469025/Tworze

    #LabPlot #OpenSource #FOSS #FLOSS #DataVisualization #DataAnalysis #Statistics #Plots

  21. "Continuando con el estudio del software libre #Labplot veremos otro ejemplo, una importación de datos y visualización de los mismos, siguiendo la clara explicación del video en su canal."

    josegon.wordpress.com/2026/03/

    #LabPlot #OpenSource #FOSS #FLOSS #DataVisualization

  22. "Continuando con el estudio del software libre #Labplot veremos otro ejemplo, una importación de datos y visualización de los mismos, siguiendo la clara explicación del video en su canal."

    josegon.wordpress.com/2026/03/

    #LabPlot #OpenSource #FOSS #FLOSS #DataVisualization

  23. Labplot 2.12 (III)

    Continuando con el estudio del software libre Labplot veremos otro ejemplo, los datos provienen de https://www.itl.nist.gov/div898/handbook/datasets/ZARR13.DAT
    los pasé a un archivo de texto y desde ahí los importe a Labplot, es una columna con 194 valores.
    Vamos a Proyecto-añadir nuevo-hoja de cálculo
    Vamos a archivo -importar-desde archivo

    Recomiendo borrar las columnas vacías en la planilla, para que los gráficos queden bien escalados.

    Para el caso de este ejemplo seleccionamos todos los datos de la planilla (ctrl + a), luego clic derecho sobre la misma y elegimos trazar datos-Gráficos estadísticos- Histograma.

    Labplot es un programa que tiene muchas opciones para investigar.

    https://fediverse.tv/w/1vinX7Bu3fgggP8tNEK53c

    Nota: La gente de Labplot sugiere el siguiente enlace para aprender estadística y probabilidad
    https://www.youtube.com/@tilestats
    https://www.youtube.com/@tilestats/playlists

    #Educación #LabPlot #Matemática #Math #Programación #python #tutorial
  24. Labplot 2.12 (III)

    Continuando con el estudio del software libre Labplot veremos otro ejemplo, los datos provienen de https://www.itl.nist.gov/div898/handbook/datasets/ZARR13.DAT
    los pasé a un archivo de texto y desde ahí los importe a Labplot, es una columna con 194 valores.
    Vamos a Proyecto-añadir nuevo-hoja de cálculo
    Vamos a archivo -importar-desde archivo

    Recomiendo borrar las columnas vacías en la planilla, para que los gráficos queden bien escalados.

    Para el caso de este ejemplo seleccionamos todos los datos de la planilla (ctrl + a), luego clic derecho sobre la misma y elegimos trazar datos-Gráficos estadísticos- Histograma.

    Labplot es un programa que tiene muchas opciones para investigar.

    https://fediverse.tv/w/1vinX7Bu3fgggP8tNEK53c

    Nota: La gente de Labplot sugiere el siguiente enlace para aprender estadística y probabilidad
    https://www.youtube.com/@tilestats
    https://www.youtube.com/@tilestats/playlists

    #Educación #LabPlot #Matemática #Math #Programación #python #tutorial
  25. Labplot 2.12 (II)

    Continuando con el estudio del software libre Labplot veremos otro ejemplo, una importación de datos y visualización de los mismos, siguiendo la clara explicación del  video en su canal. Vamos a Proyecto-añadir nuevo-hoja de cálculo
    Hoja de cálculo es spreadsheet


    Vamos a archivo -importar-desde archivo

    Elegimos el archivo a analizar, en este caso una planilla con los datos de la cantidad de incendios (intencionales, no intencionales etc.) en un lapso de tiempo

    Recomiendo borrar las columnas vacías en la planilla, para que los gráficos queden bien escalados.

    Para el caso de este ejemplo seleccionamos todos los datos de la planilla (ctrl + a), luego clic derecho sobre la misma y elegimos trazar datos-graficos de lineas- lineas.

    En el caso de querer graficar solo a incendio_anio vs. incendio_total_numero , seleccionamos sus respectivas columnas y repetimos los pasos anteriores, por supuesto podremos elegir otro tipo de gráfico o análisis según convenga o corresponda.

    #Educación #LabPlot #Matemática #Math #Programación #python #tutorial
  26. Labplot 2.12 (II)

    Continuando con el estudio del software libre Labplot veremos otro ejemplo, una importación de datos y visualización de los mismos, siguiendo la clara explicación del  video en su canal. Vamos a Proyecto-añadir nuevo-hoja de cálculo
    Hoja de cálculo es spreadsheet


    Vamos a archivo -importar-desde archivo

    Elegimos el archivo a analizar, en este caso una planilla con los datos de la cantidad de incendios (intencionales, no intencionales etc.) en un lapso de tiempo

    Recomiendo borrar las columnas vacías en la planilla, para que los gráficos queden bien escalados.

    Para el caso de este ejemplo seleccionamos todos los datos de la planilla (ctrl + a), luego clic derecho sobre la misma y elegimos trazar datos-graficos de lineas- lineas.

    En el caso de querer graficar solo a incendio_anio vs. incendio_total_numero , seleccionamos sus respectivas columnas y repetimos los pasos anteriores, por supuesto podremos elegir otro tipo de gráfico o análisis según convenga o corresponda.

    #Educación #LabPlot #Matemática #Math #Programación #python #tutorial
  27. #labplot @LabPlot
    Labplot 2.12 (I)

    Estoy comenzando a estudiar el software libre matemático Labplot el cual está dedicado a la visualización y análisis de datos. Para ese fín es muy popular Geogebra además de kplot, matplotlib dentro de python etc.

    josegon.wordpress.com/2026/03/

  28. #labplot @LabPlot
    Labplot 2.12 (I)

    Estoy comenzando a estudiar el software libre matemático Labplot el cual está dedicado a la visualización y análisis de datos. Para ese fín es muy popular Geogebra además de kplot, matplotlib dentro de python etc.

    josegon.wordpress.com/2026/03/

  29. #LabPlot team is actively improving UX. The new "Changed" column in the Project Explorer highlights modified objects since your last save. Status resets on save.

    @[email protected]

    Download #LabPlot (dev) and try it now!
    👉 labplot.org/download

    #UI #DataVisualization #FreeSoftware #OpenSource #FLOSS #FOSS #KDE #SoftwareLibre

  30. #LabPlot team is actively improving UX. The new "Changed" column in the Project Explorer highlights modified objects since your last save. Status resets on save.

    @[email protected]

    Download #LabPlot (dev) and try it now!
    👉 labplot.org/download

    #UI #DataVisualization #FreeSoftware #OpenSource #FLOSS #FOSS #KDE #SoftwareLibre

  31. #LabPlot, the popular open-source data visualization and analysis tool, has just rolled out a new feature: support for importing #Unix and #Windows timestamps.

    Try it now:
    1️⃣ Download #LabPlot (dev): https://
    labplot.org/download.
    2️⃣ File > Import > From File.

    Check out the merge request for more details:
    👉 invent.kde.org/education/labpl

    #Data #OpenSource #FreeSoftware #FOSS #DataViz #DataScience #SysAdmin #Infosec #CyberSecurity #DigitalSovereignty

  32. #LabPlot, the popular open-source data visualization and analysis tool, has just rolled out a new feature: support for importing #Unix and #Windows timestamps.

    Try it now:
    1️⃣ Download #LabPlot (dev): https://
    labplot.org/download.
    2️⃣ File > Import > From File.

    Check out the merge request for more details:
    👉 invent.kde.org/education/labpl

    #Data #OpenSource #FreeSoftware #FOSS #DataViz #DataScience #SysAdmin #Infosec #CyberSecurity #DigitalSovereignty

  33. @fasnix wenn du mit Darstellung als Diagramm meinst, hier einige Vorschläge:
    - R (ja, ist schon sehr nerdig)
    - knime
    - LabPlot

    Und ich vermute, da gibt's auch was von / für LaTeX :wink:
    #R #knime #LabPlot #latex

  34. #LabPlot’s #NonlinearRegression routines reproduce #NIST certified results for datasets of varying complexity: :boost_love:

    Why it matters:
    👉 Unique validation: Direct comparison with #NIST #standards.
    👉 Risk-safe: Open datasets.

    How to fit a curve - a video tutorial:
    👉 youtube.com/watch?v=gLDwTVl8XCA

    Try it now:
    1️⃣ Download #LabPlot: labplot.org/download.
    2️⃣ File > Open Example > NIST Nonlinear Regression.

    #OpenSource #Engineering #Physics #Chemistry #Science #Research #Data #Statistics #Math

  35. #LabPlot’s #NonlinearRegression routines reproduce #NIST certified results for datasets of varying complexity: :boost_love:

    Why it matters:
    👉 Unique validation: Direct comparison with #NIST #standards.
    👉 Risk-safe: Open datasets.

    How to fit a curve - a video tutorial:
    👉 youtube.com/watch?v=gLDwTVl8XCA

    Try it now:
    1️⃣ Download #LabPlot: labplot.org/download.
    2️⃣ File > Open Example > NIST Nonlinear Regression.

    #OpenSource #Engineering #Physics #Chemistry #Science #Research #Data #Statistics #Math

  36. Continuing in the process of measuring the speed of my turntable in the oddest way; here is the FFT before and after oiling & replacing it's belt. Hmm, it's clearly a bit fast before and a bit slow after; it's not got any speed adjustment mechanism, it's a belt on an AC driven motor.
    This FFT and plot was done using #labplot using the waveforms gathered by #ngscopeclient and saved via csv.
    This is of course the wrong way to solve this problme.

  37. Continuing in the process of measuring the speed of my turntable in the oddest way; here is the FFT before and after oiling & replacing it's belt. Hmm, it's clearly a bit fast before and a bit slow after; it's not got any speed adjustment mechanism, it's a belt on an AC driven motor.
    This FFT and plot was done using #labplot using the waveforms gathered by #ngscopeclient and saved via csv.
    This is of course the wrong way to solve this problme.

  38. #XmR Chart of #Nobel Prizes in #Physics (1901–2025). :boost_love:

    👉 From the 1950s onward, there are 8 consecutive points above the central line, signaling a process shift.
    👉 The 1940s show a zero-award outlier, likely due to #WWII.

    XmR and other #charts are available in #LabPlot (#FreeSoftware, #OpenSource).

    Try #XmR in #LabPlot now:
    1️⃣ Download: labplot.org/download.
    2️⃣ Plot Data > Continual Improvement Plots > PBC.

    #Science #Research #DataViz #Engineering #Data #Space #Astronomy #FOSS

  39. #XmR Chart of #Nobel Prizes in #Physics (1901–2025). :boost_love:

    👉 From the 1950s onward, there are 8 consecutive points above the central line, signaling a process shift.
    👉 The 1940s show a zero-award outlier, likely due to #WWII.

    XmR and other #charts are available in #LabPlot (#FreeSoftware, #OpenSource).

    Try #XmR in #LabPlot now:
    1️⃣ Download: labplot.org/download.
    2️⃣ Plot Data > Continual Improvement Plots > PBC.

    #Science #Research #DataViz #Engineering #Data #Space #Astronomy #FOSS

  40. #EdwardTufte offers two #principles for making efficient graphical representations:
    1️⃣ Erase non-data-ink.
    2️⃣ Erase redundant data-ink.

    Did you know that in #LabPlot (#free, #opensource) you can apply the #EdwardTufte #theme to your #charts in a single click? :boost_love:

    @[email protected]

    Try it now:
    1️⃣ Download #LabPlot: labplot.org/download.
    2️⃣ File > Open Example > 'Tufte's Minimal Ink Design'

    #Physics #Chemistry #DataVisualization #Data #Research #Engineering #Science #DataViz #FOSS #FLOSS

  41. #EdwardTufte offers two #principles for making efficient graphical representations:
    1️⃣ Erase non-data-ink.
    2️⃣ Erase redundant data-ink.

    Did you know that in #LabPlot (#free, #opensource) you can apply the #EdwardTufte #theme to your #charts in a single click? :boost_love:

    @[email protected]

    Try it now:
    1️⃣ Download #LabPlot: labplot.org/download.
    2️⃣ File > Open Example > 'Tufte's Minimal Ink Design'

    #Physics #Chemistry #DataVisualization #Data #Research #Engineering #Science #DataViz #FOSS #FLOSS

  42. Your #process #data holds early warnings—#LabPlot (#free, #opensource) turns them into clear #statistical alerts, so you act before issues escalate.

    Unlike complex tools, LabPlot's #StatisticalProcessControl tools are designed for quick, reliable #insights.

    Using #SPC, reductions in the process #variation of 50% are not unusual.

    Try it now:
    1. Download: labplot.org/download.
    2, Add a #ControlChart.
    3. Act on #facts.

    #DataAnalysis #DataViz #Statistics #Business #Chemistry #Physics #Health

  43. Your #process #data holds early warnings—#LabPlot (#free, #opensource) turns them into clear #statistical alerts, so you act before issues escalate.

    Unlike complex tools, LabPlot's #StatisticalProcessControl tools are designed for quick, reliable #insights.

    Using #SPC, reductions in the process #variation of 50% are not unusual.

    Try it now:
    1. Download: labplot.org/download.
    2, Add a #ControlChart.
    3. Act on #facts.

    #DataAnalysis #DataViz #Statistics #Business #Chemistry #Physics #Health

  44. #LabPlot is a #free, #OpenSource tool designed for scientific #DataVisualization and #DataAnalysis, perfect for #researchers and #engineers. :boost_love:

    One of its standout features is #Maxima (but also #Python, #R etc.) integration—you can create #notebooks that combine text, #LaTeX, Maxima commands, and plots, making it easy to produce scientific documents with live calculations and results.

    Image source:
    maxima-french-doc.fr/interface
    #FLOSS #FOSS #Science #Math #Physics #Chemistry #Data #STEM

  45. #LabPlot is a #free, #OpenSource tool designed for scientific #DataVisualization and #DataAnalysis, perfect for #researchers and #engineers. :boost_love:

    One of its standout features is #Maxima (but also #Python, #R etc.) integration—you can create #notebooks that combine text, #LaTeX, Maxima commands, and plots, making it easy to produce scientific documents with live calculations and results.

    Image source:
    maxima-french-doc.fr/interface
    #FLOSS #FOSS #Science #Math #Physics #Chemistry #Data #STEM

  46. #LabPlot is an #OpenSource tool for #DataVisualization and #DataAnalysis, and its #Wikipedia page should reflect its latest features and developments. :boost_love: :wikipedia:

    👉 wikipedia.org/wiki/LabPlot

    @[email protected]
    @opensource

    If you’re a user, take a moment to check and update the page in the appropriate language version of #Wikipedia.

    #Wikipedia #Science #Community #FLOSS #FOSS #Tech #Data #DataScience #InfoSec #Academia #Edu