Comparison

PickerFull vs PandaCalc

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

Head to head
About

PickerFull

Extract color palettes from any image and export them in a wide range of formats, including HEX, RGB, and various coding-specific values. Offers custom screenshot and PDF export options for comprehensive color data sharing.

Highlights
  • Extract colors from photos
  • Export in HEX, RGB, HSB, HSL, CMYK, and more
  • Supports coding formats (CSS, SASS, Swift, Unity)
  • Custom screenshot export
  • PDF export of color palettes
  • Plain text export
Features
Read full description

Export colors from photos as HEX, PDF, RGB, HSB/HSV, HSBA, HSL, LUV, LCH, YUV, YCBCR, YIQ, CMYK, Grayscale, XYZ, L*a*b* (CIE), CSSVAR, SASSVAR, CSSHSL, CSSRGB, AndroidXML, FlutterDart, UnityColor32, Float, Objective-C, Swift, SwiftLiteral, SwiftUI ALSO: You can export in ALL formats at once with: - Custom screenshot - PDF - Plain Text

About

PandaCalc

Features
Read full description

PandaCalc is a calculator with notes and calculation history, designed for users who need to track, save, and understand their numbers. Perfect for expense tracking, budgeting, work calculations, and any situation where calculation records matter. Key Features Add Notes to Every Calculation Attach text notes to each calculation record, such as expenses, rent, materials, or project names, so every number has clear context. Calculation History with Auto Save All calculations are automatically saved, allowing you to review your full calculation history anytime. Archive Important Results Save and archive key calculations with one tap for future reference, ideal for budgeting, reimbursements, and project work. Trash & Recovery Deleted calculation records are moved to a recycle bin, so you can restore them anytime and avoid accidental loss. More Features • Supports large numbers and readable formatting • Copy, delete, sum, and subtotal calculation history • Custom decimal precision from 0 to 10 places • Optional thousand separators • Adjustable font size • Optional key sounds and haptic feedback • Dark Mode support • Multilingual support: English, Simplified Chinese, Traditional Chinese, and Japanese

Screenshots

PickerFull4 screens
PandaCalc4 screens

Verdict

The call

The clearest difference is update cadence: PandaCalc at weekly against PickerFull's every 3 weeks. PandaCalc also leads on iOS requirement (13.0 vs 18.0). On price, ads, in-app purchases and device support 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. Neither carries in-app purchases, so what you see is what you pay.

UpkeepUpdate frequency

PickerFull ships an update every 3 weeks, PandaCalc weekly. The most recent releases landed on November 2, 2026 and October 30, 2026 respectively.

Scorecard2 real differences · 8 level
PickerFull versus PandaCalc: the parameters behind the verdict, then further details
ParameterPickerFullPandaCalc
PriceFreeFree
Rating3.6 (10 ratings) — better—
Positive reviews70.0% of reviews—
Number of ratings10 — better—
Update frequencyEvery 3 weeksWeekly — better
AdsNoNo
In-app purchasesNoNo
MonetizationFree—
DevicesiPhone, iPadiPhone, iPod
Requires iOS18.013.0 — better
Further details — not scored
Size5 MB25 MB
Age rating4+4+
DeveloperDaniel Springer友 周

In-app purchases

None

PickerFull

No in-app purchases

None

PandaCalc

No in-app purchases

Questions

Is PickerFull free?
PickerFull is free to download, with no in-app purchases.
Is PandaCalc free?
PandaCalc is free to download, with no in-app purchases.
Do PickerFull or PandaCalc have ads?
Neither PickerFull nor PandaCalc shows ads.
Which is updated more often, PickerFull or PandaCalc?
PickerFull ships an update every 3 weeks, and PandaCalc weekly. Most recently, PickerFull was updated on November 2, 2026 and PandaCalc on October 30, 2026.

Other comparisons