OnlyFans Statistics and Best OnlyFans Reviews Publish GitHub Data Repositories

Public repositories bring together downloadable statistics, charts and methodology notes for journalists and analysts covering the creator economy.

New York, United States, September 11, 2026 /PressCable/ -- NEW YORK — OnlyFansStatistics.com and BestOnlyFansReviews.com have made two public data repositories available on GitHub, expanding access to the statistical resources published across the two websites. The repositories combine machine-readable tables with documentation and version histories to support reporting, citation and analysis.

The OnlyFans Statistics repository contains 18 CSV files, two JSON files and 39 SVG charts. A separate creator dataset repository contains five CSV files and two JSON files covering subscription pricing, accumulated likes, content-library characteristics and other listing aggregates. Both repositories include citation files to help readers identify and reference the published resources.

The GitHub release gives journalists and analysts a way to access the files, inspect the accompanying explanations and refer to a specific revision. CSV and JSON formats allow the published aggregates to be used in spreadsheets or analytical tools, while SVG charts provide a format suitable for visual presentation, subject to the applicable license terms.

These formats serve different reporting needs. CSV tables can support a chart showing the published subscription-price ranges, while JSON files provide a structured reference for the figures and their accompanying fields. The SVG collection offers ready-made visuals for the topics it covers. Readers should consult the documentation for each resource before choosing a comparison or reusing a chart.

The revision history also allows a citation to identify the exact file version used. This gives an editor a reference to revisit when checking a number, even if the project later updates its published materials. Questions about definitions or unexpected differences can be raised through the repositories' discussion areas.

According to the creator dataset's published methodology, its June 2026 collection covers 401,727 public directory listings representing 100,200 unique profiles across 1,057 niches. Within that sample, the median listed subscription price among paid profiles is $9.99 per month.

The publication concerns access to the existing collection and does not announce a new survey. The creator files contain aggregate statistics, not individual profile records, and the directory sample is not a representative census of all OnlyFans creators. Listed prices and accumulated likes should not be used as measures of creator income or subscriber conversion rates.

The OnlyFans Statistics data resources provide an overview of the published materials. The Best OnlyFans Reviews source notes provide further context for the related editorial project. Readers can submit methodology questions, suggest corrections and request additional breakdowns through the OnlyFans Statistics data discussions and the creator dataset discussions on GitHub.

For readers comparing subscription prices, the distinction between paid and free profiles is central. The median in the collection applies to the paid group. Combining that group with profiles that list no subscription charge would answer a different question. Reporting should therefore identify the group being described alongside the value, rather than presenting a single figure as a universal price for the platform.

The distinction between listings and profiles also affects interpretation. A directory can list the same profile in more than one category. The collection reports both the number of listings and the number of unique profiles so that repeated appearances are not mistaken for additional creators. Niche counts describe the directory structure used in the collection; they do not establish the size of separate, nonoverlapping creator markets.

An analyst using the resources can begin by selecting the relevant table, checking its definitions and recording the collection period. The next step is to identify the population behind the metric, such as paid profiles for subscription pricing, and preserve that description when creating a chart. This process helps keep a numerical finding connected to the conditions under which it was collected.

The discussion areas give readers a public place to ask how a field was defined or to flag a possible inconsistency. A useful correction request can identify the file, the version and the value in question, together with an explanation of the issue. This makes the question easier to examine than a general comment about the headline alone.

Public availability also does not remove the need to examine reuse conditions. Readers preparing a publication should check the license and attribution information that accompanies the resource, retain the relevant source reference and distinguish the original published figure from any calculation they perform themselves. An independently produced chart may use the same underlying aggregate without representing a separate data collection.

The repositories consequently serve as a distribution and documentation channel for the projects' published work. Their value for reporting lies in making files, definitions and revisions easier to inspect together. The resources can support a story about subscription pricing or public directory patterns when the article states the sample, collection period and limitations alongside the figures.

OnlyFans Statistics and Best OnlyFans Reviews are independent projects and are not affiliated with OnlyFans or Fenix International Ltd. The projects share parts of their underlying data; overlapping findings do not constitute independent replications.

Contact Info:
Name: Felix Hesse
Email: Send Email
Organization: OnlyFans Statistics
Address: 100 Park Ave, Manhattan, New York, NY 10017, United States
Website: https://onlyfansstatistics.com/

Source: PressCable

Release ID: 89203065

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