“Best Float Alternatives in 2026 (Free and Paid)”

Why do teams leave Float?

float alternatives is a key topic in modern project management and teamwork. They leave for one of four reasons, and only one of them is about price.

Scheduling stops at the schedule. Float tells you a designer is 90 percent booked in March. It does not tell you which deliverables those hours produce, whether the project is still profitable at that burn rate, or whether the client has approved the scope. Teams end up running Float beside a task tool and a spreadsheet, then notice they are maintaining three versions of the same truth.

Per-seat pricing meets real headcount. Float prices per scheduled person, with tiered plans and an annual commitment for the lower rate. That is fair for a full-time team. It becomes awkward when 40 percent of your roster is freelance, part-time, or a viewer who only needs to see next week.

Forecasting depth. Float’s reports cover scheduled hours and utilization reasonably well. Once you want revenue forecasts, project margins, or scenario planning (“what if we win the second retainer?”), you are exporting to a spreadsheet.

The workflow gap. Float does not hold tasks, checklists, dependencies, or acceptance criteria. For teams whose day-to-day lives in a task board, the scheduling tool becomes a separate ritual that only the resourcing manager loves.

What should you compare before you switch?

Compare these six things, and be honest about which three you will use weekly:

• Scheduling model. Person-first (who is free) versus project-first (what the work needs). Float is person-first; some alternatives are project-first.
• Capacity math. Whether part-time contracts, leave, and non-project time are modelled, or whether every person is treated as a full-time unit.
• Connection to delivery. Tasks, dependencies, and milestones in the same system, or an integration that only passes summaries.
• Billable versus internal. Whether you can separate client work from internal work without building a custom field for it.
• Reporting. Utilization, billable ratio, project margin, and a forecast that a finance person will accept.
• Pricing shape. Per seat, per manager, per resource, seat minimums, and how viewers and contractors are billed.

Prices are published list prices in USD, annual billing, before tax. They change; check the vendor page before you sign.

Is Resource Guru the cheapest sensible swap?

For pure scheduling, usually yes. Resource Guru does one job with unusually little friction: a colour-coded schedule per person or per resource, bookings with partial days, leave, and a clean “who is available” view. Small teams get a free trial and an entry price around $2.50 to $5 per user per month depending on tier and billing.

The reason it wins deals against Float is not features. It is the cost of the peripheral seats. If your roster includes nine freelancers who each work two days a week, a per-seat schedule at $12.50 costs $1,350 a year for people who occupy about 20 percent of the capacity. At $5, that is $540. The schedule looks almost identical.

The trade-off is depth. Resource Guru does not manage tasks, it does not model project budgets, and its forecasting is a projection of bookings rather than a financial model. It is also not a place your team will open voluntarily; it is a manager’s view.

Does Runn replace the spreadsheet as well as the schedule?

It gets closer than most. Runn is built around the relationship between people, projects, and money: allocations, project phases, rates, budget burn, and a forecast that updates as actuals arrive. For a consultancy that currently runs Float plus a margin spreadsheet, the pitch is credible.

Pricing starts around $8 per user per month, which is comparable to Float’s mid tier, and the product is aimed at teams of 10 to 100 where someone is accountable for utilization.

Two honest limits. First, Runn is a planning tool, not a delivery tool: no task board, no acceptance criteria, no QA. Second, its financial model is only as good as the rates and time entries behind it. Teams that do not log hours will find the forecast drifting within a month.

Where it shines is the question that ends most resourcing meetings: “can we take this project without hiring, and what does it do to margin?” Runn can answer that in the same screen as the capacity chart, which Float cannot.

What changes when scheduling lives inside the delivery tool?

The schedule stops being a parallel process. In Doitify, workload views, Gantt charts, and roadmaps are computed from the same tasks, sub-tasks, owners, and due dates that the team updates anyway, so a capacity chart cannot drift from reality by more than the last status update.

Disclosure: Doitify is our product, so read this as a description of an architecture rather than a verdict. The genuine advantage is that scheduling, execution, and reporting share one data set: Kanban boards, dependencies, milestones, workload management, work and performance reports, and project documents all live in the same workspace, and Doitify Copilot can draft the task breakdown that the schedule then consumes.

The genuine limitation is specialization. Float has spent years on the resourcing manager’s workflow: split bookings, soft allocations, placeholder resources, and a timeline that reads at a glance across 60 people. A general workspace is good enough for teams up to a few dozen people and less comfortable for a 200-person agency with a dedicated resource manager. If your resourcing is a full-time job, buy a tool built for that job.

Is Teamdeck the middle path?

Teamdeck sits between scheduling and delivery. It has a resource timeline, bookings, leave management, and timesheets, so utilization is computed from actual time rather than planned time. Pricing is generally in the $7 to $9 per user per month range, with the exact figure depending on modules and billing period.

That combination is more valuable than it sounds. Most utilization arguments are really data arguments: the schedule says 82 percent, the timesheets say 64 percent, and nobody can explain the 18-point gap. When bookings and actual hours live in one system, the gap becomes a conversation about estimation rather than about whose spreadsheet is right.

The cost is ergonomics. Teamdeck’s interface is functional, its reporting is not the kind of thing you screenshot for a board deck, and the task layer is thinner than a dedicated project tool. It suits agencies that care about the numbers more than the aesthetic.

Is Forecast worth four times the price?

Only if resource planning is a revenue function in your business. Forecast combines scheduling with project financials and AI-assisted estimates, starting around $27 per user per month on custom quotes. For a 20-person agency that is roughly $6,480 a year, against $1,800 for Float.

What you buy is not a nicer timeline. You buy a system that can tell you, before you commit, whether a proposed project improves or damages margin at the utilization it requires. In a 20-person consultancy billing $150 an hour, one avoided bad project decision pays for the licence several times over.

What you also buy is implementation. A financial planning tool needs rates, project templates, and a discipline of time entry. Teams that buy it and keep planning in a spreadsheet end up with an expensive dashboard nobody opens.

How do you model utilization before you switch tools?

Do the arithmetic first; it usually decides the purchase.

Example 1 — the part-timer problem. An 18-person studio moves from Float at $12.50 per user to Resource Guru at $5. Annual cost falls from $2,700 to $1,080, a saving of $1,620. Six of those 18 people are freelancers booked two days a week. If the studio had modelled their capacity as 0.4 FTE, the schedule would have shown 12.4 FTE of real capacity instead of 18, and the two late retainers might have been declined or staffed differently. The licence saving is real; the capacity insight is worth more.

Example 2 — the utilization gap. A 6-person consultancy defines billable capacity as 1,600 hours per person per year (40 hours × 46 working weeks, less 10 percent for internal work). Total billable capacity is 9,600 hours. The schedule reports 85 percent booked, but invoiced hours equal 62 percent. The gap is 23 points, or 2,208 hours. At a $120 hourly rate, that is $264,960 of unbilled capacity. Switching scheduling tools does not close that gap; switching to a tool where bookings and timesheets are the same record makes it visible in week two.

Example 3 — the part-time capacity model. A 12-person engineering team includes two people at 0.6 FTE. Real capacity is 10 × 40 + 2 × 24 = 448 hours per week. Planned demand for the next quarter is 480 hours per week. The shortfall is 32 hours weekly, about 0.8 FTE, or roughly one contractor day per week. A tool that treats everyone as one full-time unit would have shown a comfortable 6 percent buffer instead of a deficit.

Example 4 — the leave blind spot. Thirty people with 25 days of annual leave each hold 750 days of leave, or 6,000 hours, that will be taken somewhere in the year. If the plan assumes 46 working weeks for everyone, it overstates capacity by about 4 percent, which on a 30-person team is roughly one full-time person. Nothing in the schedule turns red when that person is on a beach in August.

What are the trade-offs nobody mentions?

Scheduling tools make overallocation visible but not solvable. Seeing that a developer is at 140 percent does not create another developer. The value is in the decision you make earlier, and that decision needs delivery data.

Granularity costs maintenance. A schedule built at half-day granularity across 50 people needs weekly upkeep. The moment updates lag, the chart becomes a historical document. Choose the coarsest granularity that still supports decisions.

Integrations are not a data model. Passing task names into a schedule is easy; keeping status, effort, and dates in sync both ways is not. Test the integration for two weeks before you cancel the old tool.

Soft allocations hide commitments. Placeholder bookings are useful for planning and dangerous for reporting, because a soft booking and a signed contract look identical on a capacity bar.

Utilization targets distort behaviour. A team told to hit 85 percent billable will book internal work as billable or stop logging. Treat utilization as a diagnostic, not a target to be gamed.

Which alternative fits your team?

• You only need a capacity timeline and want to pay less: Resource Guru.
• You need forecasting with project margins: Runn, or Forecast if budgets drive decisions.
• You need bookings, timesheets, and leave in one place: Teamdeck.
• You want the schedule to be a view of live tasks: Doitify.
• You live inside Jira and want issue-linked planning: Tempo Planner.
• You are a large agency with a dedicated resource manager: keep Float, or evaluate Forecast and Runn side by side.

What mistakes should you avoid?

The first is switching tools to fix a data problem. If hours are not logged, no schedule will be accurate.

The second is modelling everyone as full-time. Part-time contracts, leave, and non-project time are the three biggest sources of silent capacity error.

The third is buying forecasting before you have rates. A forecast without cost rates is a bar chart with extra steps.

The fourth is ignoring the viewer seat. Executives, clients, and contractors need to see the plan; check what it costs to let them, because a five-seat difference can exceed the savings you switched for.

The fifth is migrating mid-quarter. Start the new tool at a quarter boundary so utilization reports have clean edges.

Conclusion

Float alternatives split into three families: cheaper schedules, forecasting tools, and delivery workspaces that compute capacity from live work. Each fixes a different sentence. “We pay too much for part-time seats” points to Resource Guru. “We cannot see margin” points to Runn or Forecast. “The schedule is a separate ritual” points to Doitify or Teamdeck.

Before you compare prices, calculate your real capacity in FTE, including part-timers and leave, and calculate the gap between booked and billed hours. Those two numbers decide more than any feature table. Then run the new tool for one full planning cycle beside the old one, and cancel only when the two agree and the team stops complaining about double entry.

If this post on float alternatives was helpful, you might also enjoy Best Project Management Views: List, Board, Gantt or Calendar? and Project Management Software for Engineering Teams in 2026.