Comparison

Pyfl vs Where When

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

Pyfl

Create a personalized map of your favorite spots and discover new places recommended by your friends. Get trusted suggestions based on your social network's tastes, not anonymous reviews. Perfect for finding restaurants, cafes, shops, and more.

Highlights
  • Create personalized maps of favorite places
  • Get recommendations from friends
  • Organize places into lists
  • Discover nearby recommendations from your network
  • Find people by name
Features
Read full description

Create the map of your favorite places (restaurants, bars, cafés, brunch places, shops, parks…) and get recommendations from your friend's map. Pyfl (Places Your Friends Like) gives you personal recommendations from people you trust, not random anonymous 5-star reviews. Why we built Pyfl? We like to go to places our friends suggested much more than to go to a place pushed by anonymous (and questionably trustworthy) sources. First, you know your friends and it's much easier to know why they suggest a place. You know their taste and you know if you trust their "best burger of the town" rating. It's a much more personal way of discovering new places. There is no "smart" algorithm in Pyfl that decides a restaurant is good for you. How you can use Pyfl: - Remember your favorite places - Organize your places into lists - List the places you go to lunch to with colleagues - Get suggestions from your friends for a nicer dinner - When traveling, get recommendations from friends who have already been there - Get recommendations from the magazines and brands you trust - Discover the most popular places in your group of friends. How to use Pyfl? - Sign up to create an account. - Your map displays both your favorite places and your friends favorite places - Use the Add button to add places you like to your map - Use the Discover tab to find nearby recommendations from your network. - Use the Find People link in the Discover tab to find people by name. Feedback more than welcome at ios@pyflapp.com!

About

Where When

Features
Read full description

It's a personal location tracker. You can see spots you've been to and how many times.

Screenshots

Pyfl4 screens
Where When4 screens

Verdict

The call

The clearest difference is in-app purchases: Where When at none against Pyfl's 3. Where When also leads on update cadence (daily vs every 6 weeks). On price, ads, device support and iOS requirement there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Both are free to download. Pyfl sells 3 one-off in-app purchases. Where When asks for nothing beyond the download.

UpkeepUpdate frequency

Pyfl ships an update every 6 weeks, Where When daily. The most recent releases landed on October 21, 2026 and October 8, 2026 respectively.

Scorecard2 real differences · 8 level
Pyfl versus Where When: the parameters behind the verdict, then further details
ParameterPyflWhere When
PriceFreeFree
Rating4.8 (33 ratings) — better—
Positive reviews92.1% of reviews—
Number of ratings33 — better—
Update frequencyEvery 6 weeksDaily — better
AdsNoNo
In-app purchasesYesNo — better
MonetizationFree with in-app purchases—
DevicesiPhone, iPad — betteriPhone
Requires iOS17.0 — better17.5
Further details — not scored
Size35 MB6 MB
Age rating12+4+
DeveloperThe Grizzly LabsFolder, LLC

In-app purchases

3 purchases

Pyfl

One-time3
  • Small Tip$0.99
  • Generous Tip$2.99
  • Super Large Tip$9.99
None

Where When

No in-app purchases

Questions

Is Pyfl free?
Pyfl is free to download, with in-app purchases available.
Is Where When free?
Where When is free to download, with no in-app purchases.
Do Pyfl or Where When have ads?
Neither Pyfl nor Where When shows ads.
Which is updated more often, Pyfl or Where When?
Pyfl ships an update every 6 weeks, and Where When daily. Most recently, Pyfl was updated on October 21, 2026 and Where When on October 8, 2026.

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