Where does Python4Fun, Inc. rank among US patent assignees?

According to USPTO PatentsView (2015–2025 granted utility patents), Python4Fun, Inc. ranks #29,866 of 49,997 assignees by granted-patent volume, the same sort as the companies listing and top-holders ranking. See /methodology/#corpus-placement.

How many patents does Python4Fun, Inc. hold?

Python4Fun, Inc. holds 9 US utility patents granted between 2015 and 2015, spanning 2 technology areas.

What is Python4Fun, Inc.'s Innovation Score?

Python4Fun, Inc. has an Innovation Score of 24.7 out of 100 (15th percentile of the corpus). This composite metric weighs portfolio volume (40%), grant velocity (20%), technology breadth (25%), and claim depth (15%).

What technology areas does Python4Fun, Inc. focus on?

Python4Fun, Inc.'s top technology area is G06F (Electric Digital Data Processing) with 9 patents, ranking #3,920 of 13,878 assignees active in that subclass. Grants appear in 2 CPC subclasses total.

Is Python4Fun, Inc.'s patent grant rate increasing or decreasing?

Python4Fun, Inc.'s recent grant velocity is -100% compared to the prior five-year period (grant years, not application filing dates). Grant activity has slowed relative to earlier years.

What does claim depth mean for Python4Fun, Inc.'s patents?

Python4Fun, Inc.'s patents average 19.6 claims each. This is an aggregate descriptive count from the grant record; it does not establish claim scope, legal strength, enforceability, or design-around risk.

How is the Python4Fun, Inc. patent data sourced?

All patent data comes from USPTO PatentsView, a public research dataset maintained by the United States Patent and Trademark Office covering US granted utility patents from 2015 to 2025.

USPTO 2015–2025 USPTO PatentsView US Corporation

Python4Fun, Inc.

USPTO PatentsView assignee record - 9 granted patents across 2 technology areas, recorded in grant years 2015–2015. Grant-trend analysis is cross-referenced to USPTO Patent Public Search; it does not measure application filings, current R&D, or legal strength. Primary class: G06F (Electric Digital Data Processing).

Compiled by PlainPatent · May 15, 2026

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Explore the portfolio See the ranking

The verdict

According to USPTO PatentsView, Python4fun ranks #29,866 of 49,997 tracked US assignees by granted-patent volume, with 9 patents across 2 technology areas.

#29,866
of 49,997 US assignees by volume: 15th percentile
by Innovation Score (24.7/100): 19.6
avg claims per patent: -100%
grant velocity, last 5 yrs

USPTO PatentsView assignee plate

Corpus R29866 · US Corporation #29,866 · 9 grants

GRANTS-MICRO · MID-PACK · PHOTO-FINISH · CPC-NARROW · INNOV-THIN · CLAIMS-RICH · TYPE-USCORP · VEL-DROP · BOOK-FULL

GRANTS-MICRO 9 grants
MID-PACK #29,866/49,997
PHOTO-FINISH PseudolithIC
CPC-NARROW G06F · 2 areas
INNOV-THIN 24.7/100
CLAIMS-RICH 19.6 claims/avg
TYPE-USCORP US Corporation
VEL-DROP -100% vel
BOOK-FULL 10/10 fields

Nearest grant-volume peer: PseudolithIC, Inc. (±0 grants)

Instrument codes from this assignee’s USPTO PatentsView grant sheet: volume band, corpus rank, photo-finish peer, lead CPC, Innovation Score, claim depth, assignee type, velocity, and book completeness. Not a USPTO rating of patent strength.

How Python4fun’s 24.7 Innovation Score adds up

The same four weighted components behind every Innovation Score on PlainPatent: portfolio volume, grant velocity, technology breadth, and claim depth.

Volume 8.0 pts (32%) Velocity 0.0 pts (0%) Breadth 5.0 pts (20%) Claim depth 11.7 pts (47%)

Qualcomm Incorporated · highest

85
Python4Fun · this assignee

25
3D Lighting… · lowest

7

What this shows Python4fun's Innovation Score is 24.7/100 (15th percentile of the PatentsView-derived corpus). The chart places that score against the nearest Innovation Score peers plus corpus poles, not a reprint of the volume ranking.

Does more volume mean deeper claims for Python4fun?

Each dot is one of Python4fun’s 8 nearest volume peers (same corpus rank neighbourhood as the chart above), placed by total granted patents (horizontal) against average claims per patent (vertical). Python4fun’s own 19.6 claims/patent is ABOVE the 18.2 median for these volume peers. More thorough claims than most filers at this scale, not just more of them.

Python4fun vs its 8 nearest volume peers: granted patents vs average claims per patent. Source: USPTO PatentsView.

Where Python4fun's grants concentrate

Python4Fun, Inc. is a focused PatentsView assignee: 2 CPC subclasses with 100% of grants classified under G06F (Electric Digital Data Processing). By volume, Python4fun sits between PseudolithIC, Inc. and Qingdao SM Parker Golf Ltd..

Pseudolithic

9
Pupil Labs

9
Puretech Health

9
Purestream Servic…

9
Q2 Software

9
Qatar Tourism

9
QFO Labs

9
Qingdao SM Parker…

9
Python4fun ◀

9

What this shows Python4Fun holds 9 patents at rank #29,839, shown against the 8 assignees closest to it in grant volume rather than the industry's largest filers.

Companies ranked near Python4Fun

By rank, the assignees closest to #29,839 in granted patent volume.

Leaders in G06F (Electric Digital Data Processing)

Other assignees with the most granted patents in Python4Fun's primary technology class.

Python4fun's Innovation Score vs. every tracked assignee

Composite of portfolio volume, grant velocity, technology breadth, and claim depth (0–100)

25 15th percentile higher than 15% of 49,997 US assignees

Each bar is a band; taller bars hold more US assignees. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count, share, and where it sits relative to this entry.

Source USPTO PatentsView, PlainPatent Innovation Score · 2015–2025

Grants by year

Teal-shaded recent years (2020–present) versus the 2015–2019 baseline. Full figures in the table below.

View data table

Python4Fun, Inc. patent grants by year, 2015–2025
Year	Patents Granted	Share of Period
2015	9	100.0%

Which technologies does Python4Fun, Inc. patent most?

G06F - Electric Digital Data Processing 9

H04L - Transmission OF Digital Information, e.g. Telegraphic Communication 1

Top 2 of 2 technology areas

More on this record

Data Source

USPTO PatentsView, US granted patents 2015–2025

View all rankings → How is Innovation Score calculated?

What to do with this data

Python4Fun, Inc.'s patent record in context - here's where to go next.

Python4Fun, Inc.'s lead technology class is G06F (Electric Digital Data Processing), 100% of its portfolio - see every assignee active in that class. Explore G06F
Ranked #29,866 of 49,997 tracked assignees by patent volume - see the full leaderboard. See the ranking
Compare Python4Fun, Inc. against PseudolithIC, Inc., an assignee filing at a similar volume. Compare portfolios
Innovation Score of 24.7/100 blends volume, velocity, technology breadth, and claim depth. How it's calculated

Figures reflect USPTO PatentsView grant data through May 2026; pending applications not yet granted are not counted.

Data sourced from USPTO PatentsView - official U.S. government patent data. See our methodology for computation details. Retrieved and formatted by PlainPatent

Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the USPTO PatentsView database. Consult a qualified professional before making decisions based on this data.

Read our methodology - how this data is sourced, computed, and verified.

Data sources used on this page

USPTO PatentsView - the disambiguated bulk patent-grant, assignee, and CPC data this page's figures are derived from. patentsview.org
Cooperative Patent Classification (CPC) - the joint USPTO/EPO classification scheme used to group patents by technology area. cooperativepatentclassification.org
USPTO Patent Public Search - the official interface to verify the status of any individual patent. ppubs.uspto.gov

Compiled by PlainPatent , US Patent Intelligence Editorial Process · May 15, 2026

Every figure on PlainPatent is rendered directly from USPTO source data, no number is typed in by an editor. This page draws directly on USPTO source data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error. Data current as of May 2026.