New: ChatGPT now sends real traffic to the websites it recommends. See why it matters →
Home › Leaderboard › Seaborn.pydata.org

Seaborn.pydata.org

Recommended by ChatGPT across 38 prompt topics people ask about
51
ESTIMATED
ChatGPT referrals / mo
Prompt topics
38
Monthly ChatGPT prompts
21K
Est. value / mo
$18
Avg rank
9.03
These aren't logged prompts (ChatGPT doesn't share those). They're the commercial topics people ask ChatGPT to recommend products for, sized from real search demand and verified by running each one through ChatGPT. How we estimate this.

Prompts where ChatGPT recommends Seaborn.pydata.org

Each topic written the way a person would ask it. Estimated visits = this site's share of that prompt's demand.

What's the best Python plotting library? rank 3 8 /mo What's the best Python plotting? rank 3 8 /mo What's the best Python data visualization library? rank 3 2 /mo What are the best Python charting libraries? rank 3 2 /mo Which Python visualization library is best? rank 3 2 /mo What's the best data visualization tools in Python? rank 3 1 /mo What's the best Python data visualization tool? rank 3 1 /mo What are the best Python libraries for data analysis? rank 5 1 /mo What's the best Python graphing library? rank 5 1 /mo What's the best Python plot library? rank 3 1 /mo What are the best Python plotting libraries? rank 3 1 /mo What's the best Python visualization tool? rank 3 1 /mo What's the best data visualization library? rank 10 0 /mo What are the best data visualization tools for data science? rank 6 0 /mo What's the best free data analytics software? rank 20 0 /mo What are the best free data visualisation tools? rank 20 0 /mo What's the best graphics library for Python? rank 19 0 /mo What are the best libraries for data science Python? rank 6 0 /mo Which Python packages are best for machine learning? rank 20 0 /mo What's the best plotting library? rank 11 0 /mo What are the best Python dashboard libraries? rank 9 0 /mo What is the best Python chart library? rank 7 0 /mo

Different ways people phrase this prompt. We merge them into one category, and the full ranking covers them all.

View full details for this prompt →
    View full details for this prompt →

    Proof: a real ChatGPT answer

    One of the 5 runs for What's the best Python visualization library?, verbatim.

    ChatGPT:
    1. matplotlib.org
    2. plotly.com
    3. seaborn.pydata.org ← this site
    4. bokeh.org
    5. altair-viz.github.io
    6. pypi.org
    7. numpy.org
    8. pandas.pydata.org

    Where Seaborn.pydata.org ranks

    How often ChatGPT places this site at each position across its prompt topics.

    #3
    most common spot
    32%
    of the time in the top 3
    #1
    0
    #2
    0
    #3
    12
    #4
    0
    #5
    2
    #6
    3
    #7
    3
    #8
    1
    #9
    1
    #10
    2
    #11
    3
    #12
    0
    #13
    1
    #14
    2
    #15
    1
    #16
    1
    #17
    0
    #18
    1
    #19
    2
    #20
    3

    Who else ChatGPT recommends

    Sites that come up for the same prompts as Seaborn.pydata.org, ranked by how many topics they share.

    matplotlib.org
    36 shared
    plotly.com
    31 shared
    pandas.pydata.org
    30 shared
    github.com
    25 shared
    pypi.org
    23 shared
    bokeh.org
    22 shared
    numpy.org
    21 shared
    altair-viz.github.io
    21 shared
    towardsdatascience.com
    20 shared
    scipy.org
    19 shared
    jupyter.org
    18 shared
    realpython.com
    17 shared
    holoviz.org
    16 shared
    anaconda.com
    15 shared
    stackoverflow.com
    14 shared
    scikit-learn.org
    14 shared
    kaggle.com
    13 shared
    streamlit.io
    13 shared
    dash.plotly.com
    11 shared
    plotnine.org
    10 shared
    How is this estimated?

    ChatGPT doesn't publish prompt data. We measure real demand for each commercial topic from Google search volume, scale it to ChatGPT's user base (about 1 ChatGPT user for every 8 Google searchers), and run each topic through ChatGPT 5 times to record which sites it recommends and in what order. A click-through-by-rank curve splits each topic's demand across the recommended sites. Every figure is a modeled estimate, not measured analytics. Full methodology →