Research answer
What AppTrendKit can say about Python3IDE today
AppTrendKit estimates Python3IDE's App Store USD gross consumer spend at $198–$1.4K and downloads at 223–1.8K during 2026-08-09 to 2026-09-07 (30-day window) with storefront contributor coverage unavailable.
These are modeled public App Store estimates, not official publisher-reported figures. Storefront scope is stated only when persisted contributor lineage identifies it.
Performance intelligence
Observed trajectory and estimates
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
Modeled631
Range 223 – 1.8K
Estimated App Store gross consumer spend · 30D
Modeled$534
Range $198 – $1.4K
Estimated downloads · 7D
Modeled631
Range 223 – 1.8K
Estimated App Store gross consumer spend · 7D
Modeled$534
Range $198 – $1.4K
Evidence history
Collected daily performance
1 observed day · missing days are left blank
| Date | Downloads | Gross store revenue | Confidence |
|---|---|---|---|
| Sep 7, 2026 | 631 | $534 | 16% |
Rank history
Observed chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution
Country estimates are aggregated only after country-level predictions exist.
| Storefront | Revenue | Share | Downloads | Rank | Confidence |
|---|---|---|---|---|---|
| United KingdomGB | $534 | 100.0% | 631 | — | 1% |
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 1.5
- Released
- Apr 4, 2018
- Last updated
- Apr 25, 2025
- Content rating
- 4+
- Default storefront
- GB
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
Python3IDE is an offline Python3.7 integrated development environment software with built-in common scientific libraries. It is a powerful helper for you to learn and practice Python. New: add offline C/C++/PHP/Lua integrated development environment. 【Built-in module】 -tkinter -turtle Scientific computing, data analysis and machine learning library -numpy-1.18.0 -pandas-0.25.3 -scipy-1.4.1 -scikit-learn-0.22.1 -statsmodels-0.11.1 -linearmodels-4.17 -sympy-1.5 -patsy-0.5.1 Visualization library -notebook-5.7.4 -matplotlib-3.1.2 -seaborn-0.10.0 -plotly.py-4.8.1 -bokeh-2.0.1 -pyecharts-1.7.1 UI library -kivy-2.0.0 -ipywidgets-7.4.2 Game library -SDL2 -SDL2_image -SDL2_gfx -SDL2_mixer -SDL2_ttf -pysdl2-0.9.8 -pygame-2.0.1 Image processing library -Pillow-7.0.0 -scikit_image-0.16.2 -imageio-2.8.0 -networkx-2.4 -opencv_python-4.2.0.32 Network library -pycurl-7.43.0.5 -httpie-2.0.0 -requests-2.22.0 -flask-1.1.1 -django-3.0.4 Other libraries -lxml-4.4.2 -simplejson-3.17.0 -tushare-1.2.48 【Features】 -Automatic association prompts, automatic indentation, and code highlighting. -Run scripts offline and locally, support input -Built-in common scientific computing library -Support Pip to install third-party libraries (line Python libraries) -Support Jupyter NoteBook -Built-in ipynb file previewer, so you can preview quickly without starting Jupyter Notebook service -Built-in file download management, support background download, you can download many python codes and learning libraries on the Internet at any time, such as github, etc. -Support file upload, share, download, etc. (via Jupyter Notebook service), support itunes to share documents -Built-in browser, you can open Jupyter Notebook page directly in this App, or open other web pages -Support multiple documents, you can open code editors, tutorial documents, interactive interpreters, browsers, etc. in multiple tabs, so that you can read the documents and learn while writing code -Support Python interactive interpreter, allowing you to enter code while executing -Built-in many Python learning tutorials, including python, numpy, matplotlib, pandas, scipy, sklearn, data analysis, machine learning, artificial intelligence, etc. "Auto Subscription Member Instructions" 1. Service name: consecutive year 2. If you purchase an account of an automatic subscription member, your iTunes account will be deducted 24 hours before the expiration of the monthly subscription period. After the deduction is successful, the subscription period will be extended. 3. If you need to cancel the subscription, please manually open the Apple phone "Settings" --> enter "iTunes Store and App Store" --> click "Apple ID", select "View Apple ID", enter the "Account Settings" page, click "Subscribe", select Himalaya VIP membership service to cancel the subscription. If you do not close the subscription at least 24 hours before the end of the subscription period, you will be deemed to agree to continue to authorize, and the subscription will be automatically renewed. "Automatic Subscription Service Agreement" https://www.jianshu.com/p/47341a0a9466 "User Agreement" https://www.jianshu.com/p/8ee503e0ae6f "User Privacy Agreement" https://www.jianshu.com/p/8ee503e0ae6f — Contact and feedback — If you have any questions or suggestions about the product, please contact us Email: python3ide@aliyun.com
Store creative
Screenshots
Competitive set
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Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 8:37 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: No persisted model version.
Confidence: 1%; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 10:30 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
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