Python Package Index
The Python Package Index (PyPI) is the repository of software for the Python programming language. Pronounced 🥧 🫛 👁️
19,083
Followers
11
Following
363
Tweets
44.0
Avg Engagement
321
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pypi's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2017-09-18
- Verification:No
- Location:The Cloud
Data Summary
- Tweets Analyzed:331
- Avg Likes per Tweet:27.4
- Avg Retweets per Tweet:16.5
- Followers Analyzed:17,833
Engagement Analysis
Based on 331 tweetsPyPI's tweets typically receive moderate engagement, with an average of 537 likes and 186 retweets per tweet. The account actively shares important updates and security alerts.
27.4
Avg Likes/Tweet
16.5
Avg Retweets/Tweet
9,079
Total Likes
5,471
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
2
Median Retweets
31
75th Percentile
3,163
Top Tweet
2.3
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
38.4%
Original
23.6%
Replies
32.3%
Retweets
5.7%
Quotes
0.0%
Threads
0.3%
With Media
71.0%
With Links
3.3%
With #Tags
80.4%
With @Mentions
8.5%
With Emojis
181
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.61
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
89.1%
Weekday Posts
10.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 331 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 107 retweets (32% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 331 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 17,833 followersThe primary audience includes Python developers, maintainers, and users interested in package updates and security. It also targets security professionals and the broader tech community.
Average
Audience Quality
24.4%
Suspicion Index
26.4%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.3%
Empty Bio
27.0%
<10 Tweets
12.4%
Mass Following (>2K)
0.0%
New (<90 days)
54.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
75.0%
No URL
17.6%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
26,102,283
Total Potential Reach
35
Median Follower Reach
165
75th Percentile Reach
5.4%
>1K followers
0.5%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
51.2%
Creators
9,139 accounts
21.8%
Consumers
3,886 accounts
27.0%
Dormant
4,808 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
21
Verified Followers
0.12% of total
1,928
Protected Accounts
10.81% of total
7 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @JohnCena | 14,106,440 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,080 | - | - |
| @AdnanKavustur | 574,202 | Political Communications | Kurumsal İletişim, Tanıtım, Halkla İlişkiler |
| @clcoding | 207,188 | - | - |
| @matthewtoren | 188,270 | Entrepreneur | Entrepreneur, Investor, Pickleball |
| @DalithSteiger | 119,319 | Entrepreneur | AI, cognitive technologies, Switzerland |
| @RyanMaue | 100,987 | Meteorologist | Weather, Hurricanes, Energy |
| @driscollis | 100,136 | Python Developer | Python, Writing, Teaching |
| @pyquantnews | 92,746 | - | - |
| @RochaMarceloTV | 89,584 | TV Host | Economics, Media, Dogs |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
11,530
Followers With Bio
6,303
Followers Without Bio
64.66%
% With Bio
35.34%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 331 analyzed6,189
Combined Engagement
4,429
Total Likes
1,760
Total Retweets
1,238
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Python 3.11 delivers. https://t.co/gqX8xb31ue
Today we received reports of a phishing campaign targeting PyPI users. This is the first known phishing attack against PyPI. We’re publishing the details here to raise awareness of what is likely an ongoing threat.
We’ve begun rolling out a 2FA requirement: soon, maintainers of critical projects must have 2FA enabled to publish, update, or modify them. To ensure that these maintainers can use strong 2FA methods, we're also distributing 4000 hardware security keys! https://t.co/gcCNWSqBcU
Incident report on malicious takeover of ctx package on PyPI has been published. Read details, mitigation, analysis, and more at https://t.co/I7plHeqwbj
RT @nlhkabu: 🐍✨Python people!🐍✨ The pip team needs your help! Do you have complex project dependencies? We want you to try to break pip's new dependency resolver... Details here: https://t.co/E1eRK7KjYl Please RT! 💛💙 cc @bernardtyers @simplysecureorg @ThePyPA @ThePSF
Key Insights & Takeaways
PyPI emphasizes security and updates, highlighting phishing threats and 2FA requirements. The account shares major Python version releases, indicating a focus on development and community support. It maintains a professional tone while using emojis to add a friendly and approachable feel.
Strengths
- + Established follower base of 19,083
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @pypi reveals an growing Twitter presence with 19,083 followers. The account demonstrates a content-creator strategy, averaging 44.0 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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