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Index › HR › Core HR and payroll › Time and attendance › Jibble vs TimeCamp
Time and attendance · November 2026 Edition

Jibble vs TimeCamp

Zero of fourteen models named Jibble first on the direct prompt; zero named TimeCamp. Jibble was named by twelve of the fourteen models and TimeCamp by nine and Jibble carries 19 labels and TimeCamp 14, so the shares are not directly comparable.

Jibble

accepted challenger

Named in six categories this edition.

TimeCamp

accepted challenger

Named in two categories this edition.

First-choice share10%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 17; printed, not drawn.
Labels1914A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Jibble reading right to left. Rank and label count are printed, not drawn.Rippling was named alongside these two in ten of the fourteen direct answers. Rippling vs Jibble · Rippling vs TimeCamp · Clockify vs Jibble

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the time and attendance page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
JibbleFirst choices, of fourteen modelsTimeCamp
Direct00
Paraphrase00
Comparative00
Budget-constrained52
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Jibble and TimeCamp stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Jibble TimeCamp first choice named as an alternative argued againstblank: not namedEach cell is one answer, Jibble on the left and TimeCamp on the right.

The direct prompt

The plain question, one answer per model, grouped by where Jibble and TimeCamp stood in it.

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GLM 4.7 FlashXDeputy, Rippling alternatives: Connecteam, QuickBooks Time, Synerion, TimeCamp

Neither was named

13 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Paycom alternatives: ADP Workforce Now, Connecteam, Paylocity, Rippling
GPT-5.4 miniUKG Ready alternatives: Connecteam, Gusto, QuickBooks Time, Rippling
Gemini 3.5 FlashRippling alternatives: ADP Workforce Now, ClickTime, Paylocity, Replicon, UKG Ready
Perplexity SonarRippling alternatives: BambooHR Time Tracking, Connecteam, Deputy, Paycor, Synerion, UKG Ready
Grok 4.20Rippling alternatives: Paycom, UKG Ready
Mistral SmallSynerion alternatives: Factorial, Microsoft Teams, isolved Time
DeepSeek V4 FlashTCP Humanity alternatives: Buddy Punch, Connecteam, Deputy, Rippling, UKG Ready
Llama 4 MaverickSynerion alternatives: Factorial, Microsoft Teams, isolved Time
Qwen 3.7 FlashDeputy alternatives: OnTheClock, QuickBooks Time, Synerion
Kimi K2Rippling alternatives: Paylocity, Synerion, UKG Ready
MiniMax M2.5Deputy, Rippling alternatives: Connecteam, Paylocity, UKG Ready
GPT-6 LunaRippling alternatives: ADP Workforce Now, UKG Ready
Muse Glimmer 30BDeputy, Synerion alternatives: ADP Workforce Now, Connecteam, TimeClock Plus, UKG Pro Workforce Management

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
Jibble4%#10 of 17
TimeCamp4%#11 of 17
The full small business standing →
Mid-marketThe figures above
Jibble leads by six points.
Jibble10%#6 of 17
TimeCamp4%#7 of 17
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Jibble2%#– of 13
TimeCamp2%#– of 13
The full enterprise standing →

What the models said about Jibble

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Jibble offers free time and attendance software for unlimited users, making it a strong option for small businesses” Claude Haiku 4.5 · budget prompt · first choice
“Jibble is the strongest overall choice: it offers a free plan with unlimited users” Perplexity Sonar · budget prompt · first choice

What the models said about TimeCamp

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“The best time and attendance system for a company with a limited budget is TimeCamp, which is extremely affordable” Llama 4 Maverick · budget prompt · first choice
“For the lowest-cost paid option, TimeCamp's $3.99 per user plan is hard to beat.” Mistral Small · budget prompt · first choice
“suitable for mid-sized B2B companies looking to optimize workflow and track billable hours” Mistral Small · paraphrase prompt · alternative
Also compared
Rippling vs JibbleRippling vs TimeCampClockify vs JibbleClockify vs TimeCampHomebase vs JibbleHomebase vs TimeCampToggl Track vs JibbleToggl Track vs TimeCampDeputy vs JibbleDeputy vs TimeCampJibble vs ConnecteamTimeCamp vs ConnecteamAll twenty-eight head-to-head pages and the full time and attendance standing

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.